Mihaela van der Schaar

Affiliations:
  • University of Cambridge, epartment of Applied Mathematics and Theoretical Physics, UK
  • University of California, Los Angeles, Electrical Engineering Department


According to our database1, Mihaela van der Schaar authored at least 737 papers between 2000 and 2024.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2010, "For contributions to multimedia compression and communications".

Timeline

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Bibliography

2024
Retrieval-Augmented Thought Process as Sequential Decision Making.
CoRR, 2024

Time Series Diffusion in the Frequency Domain.
CoRR, 2024

Large Language Models to Enhance Bayesian Optimization.
CoRR, 2024

Risk-Sensitive Diffusion: Learning the Underlying Distribution from Noisy Samples.
CoRR, 2024

Why do Random Forests Work? Understanding Tree Ensembles as Self-Regularizing Adaptive Smoothers.
CoRR, 2024

Dense Reward for Free in Reinforcement Learning from Human Feedback.
CoRR, 2024

Adaptive Experiment Design with Synthetic Controls.
CoRR, 2024

2023
Conservative Policy Construction Using Variational Autoencoders for Logged Data With Missing Values.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Multiple stakeholders drive diverse interpretability requirements for machine learning in healthcare.
Nat. Mac. Intell., August, 2023

Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge.
ACM Trans. Comput. Heal., April, 2023

Data-Driven Online Recommender Systems With Costly Information Acquisition.
IEEE Trans. Serv. Comput., 2023

Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in ultra low-data regimes.
CoRR, 2023

A Foundational Framework and Methodology for Personalized Early and Timely Diagnosis.
CoRR, 2023

A Neural Framework for Generalized Causal Sensitivity Analysis.
CoRR, 2023

When is Off-Policy Evaluation Useful? A Data-Centric Perspective.
CoRR, 2023

DMLR: Data-centric Machine Learning Research - Past, Present and Future.
CoRR, 2023

Tabular Few-Shot Generalization Across Heterogeneous Feature Spaces.
CoRR, 2023

Optimising Human-AI Collaboration by Learning Convincing Explanations.
CoRR, 2023

Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning.
CoRR, 2023

Redefining Digital Health Interfaces with Large Language Models.
CoRR, 2023

L2MAC: Large Language Model Automatic Computer for Unbounded Code Generation.
CoRR, 2023

Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models.
CoRR, 2023

Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL.
CoRR, 2023

Do Diffusion Models Suffer Error Propagation? Theoretical Analysis and Consistency Regularization.
CoRR, 2023

Interpretable Medical Diagnostics with Structured Data Extraction by Large Language Models.
CoRR, 2023

U-PASS: an Uncertainty-guided deep learning Pipeline for Automated Sleep Staging.
CoRR, 2023

Beyond Privacy: Navigating the Opportunities and Challenges of Synthetic Data.
CoRR, 2023

Machine Learning with Requirements: a Manifesto.
CoRR, 2023

Causal Deep Learning.
CoRR, 2023

Learning machines for health and beyond.
CoRR, 2023

TemporAI: Facilitating Machine Learning Innovation in Time Domain Tasks for Medicine.
CoRR, 2023

Synthcity: facilitating innovative use cases of synthetic data in different data modalities.
CoRR, 2023

Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

TRIAGE: Characterizing and auditing training data for improved regression.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Risk-Averse Active Sensing for Timely Outcome Prediction under Cost Pressure.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Synthcity: a benchmark framework for diverse use cases of tabular synthetic data.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

D-CIPHER: Discovery of Closed-form Partial Differential Equations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Joint Training of Deep Ensembles Fails Due to Learner Collusion.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Active Observing in Continuous-time Control.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

AllSim: Simulating and Benchmarking Resource Allocation Policies in Multi-User Systems.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time.
Proceedings of the International Conference on Machine Learning, 2023

Learning Representations without Compositional Assumptions.
Proceedings of the International Conference on Machine Learning, 2023

In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation.
Proceedings of the International Conference on Machine Learning, 2023

Adaptive Identification of Populations with Treatment Benefit in Clinical Trials: Machine Learning Challenges and Solutions.
Proceedings of the International Conference on Machine Learning, 2023

Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data.
Proceedings of the International Conference on Machine Learning, 2023

Differentiable and Transportable Structure Learning.
Proceedings of the International Conference on Machine Learning, 2023

GOGGLE: Generative Modelling for Tabular Data by Learning Relational Structure.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

When to Make and Break Commitments?
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Deep Generative Symbolic Regression.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Improving Adaptive Conformal Prediction Using Self-Supervised Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

T-Phenotype: Discovering Phenotypes of Predictive Temporal Patterns in Disease Progression.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

SurvivalGAN: Generating Time-to-Event Data for Survival Analysis.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Neural Laplace Control for Continuous-time Delayed Systems.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Membership Inference Attacks against Synthetic Data through Overfitting Detection.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

To Impute or not to Impute? Missing Data in Treatment Effect Estimation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Feedback Adaptive Learning for Medical and Educational Application Recommendation.
IEEE Trans. Serv. Comput., 2022

Developing machine learning algorithms for dynamic estimation of progression during active surveillance for prostate cancer.
npj Digit. Medicine, 2022

Can we reliably automate clinical prognostic modelling? A retrospective cohort study for ICU triage prediction of in-hospital mortality of COVID-19 patients in the Netherlands.
Int. J. Medical Informatics, 2022

MARS: Assisting Human with Information Processing Tasks Using Machine Learning.
ACM Trans. Comput. Heal., 2022

Navigating causal deep learning.
CoRR, 2022

Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes.
CoRR, 2022

DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems.
CoRR, 2022

AutoPrognosis 2.0: Democratizing Diagnostic and Prognostic Modeling in Healthcare with Automated Machine Learning.
CoRR, 2022

Adaptively Identifying Patient Populations With Treatment Benefit in Clinical Trials.
CoRR, 2022

DAPDAG: Domain Adaptation via Perturbed DAG Reconstruction.
CoRR, 2022

DAUX: a Density-based Approach for Uncertainty eXplanations.
CoRR, 2022

D-CIPHER: Discovery of Closed-form PDEs.
CoRR, 2022

Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects.
CoRR, 2022

Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Online Decision Mediation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Composite Feature Selection Using Deep Ensembles.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Concept Activation Regions: A Generalized Framework For Concept-Based Explanations.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Synthetic Model Combination: An Instance-wise Approach to Unsupervised Ensemble Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Machine Learning for Medicine and Healthcare.
Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022

Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations.
Proceedings of the International Conference on Machine Learning, 2022

Data-SUITE: Data-centric identification of in-distribution incongruous examples.
Proceedings of the International Conference on Machine Learning, 2022

HyperImpute: Generalized Iterative Imputation with Automatic Model Selection.
Proceedings of the International Conference on Machine Learning, 2022

Inverse Contextual Bandits: Learning How Behavior Evolves over Time.
Proceedings of the International Conference on Machine Learning, 2022

Neural Laplace: Learning diverse classes of differential equations in the Laplace domain.
Proceedings of the International Conference on Machine Learning, 2022

Label-Free Explainability for Unsupervised Models.
Proceedings of the International Conference on Machine Learning, 2022

How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models.
Proceedings of the International Conference on Machine Learning, 2022

D-CODE: Discovering Closed-form ODEs from Observed Trajectories.
Proceedings of the Tenth International Conference on Learning Representations, 2022

POETREE: Interpretable Policy Learning with Adaptive Decision Trees.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Self-Supervision Enhanced Feature Selection with Correlated Gates.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Inverse Online Learning: Understanding Non-Stationary and Reactionary Policies.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Neural graphical modelling in continuous-time: consistency guarantees and algorithms.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Inferring Lexicographically-Ordered Rewards from Preferences.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Dynamic Stochastic Demand Response With Energy Storage.
IEEE Trans. Smart Grid, 2021

Outcome-Oriented Deep Temporal Phenotyping of Disease Progression.
IEEE Trans. Biomed. Eng., 2021

Exploiting Causal Structure for Robust Model Selection in Unsupervised Domain Adaptation.
IEEE Trans. Artif. Intell., 2021

Personalized Education in the Artificial Intelligence Era: What to Expect Next.
IEEE Signal Process. Mag., 2021

Risk-Aware Multi-Armed Bandits With Refined Upper Confidence Bounds.
IEEE Signal Process. Lett., 2021

Machine learning to guide the use of adjuvant therapies for breast cancer.
Nat. Mach. Intell., 2021

How artificial intelligence and machine learning can help healthcare systems respond to COVID-19.
Mach. Learn., 2021

CPAS: the UK's national machine learning-based hospital capacity planning system for COVID-19.
Mach. Learn., 2021

Triage of 2D Mammographic Images Using Multi-view Multi-task Convolutional Neural Networks.
ACM Trans. Comput. Heal., 2021

Disentangled Counterfactual Recurrent Networks for Treatment Effect Inference over Time.
CoRR, 2021

Doing Great at Estimating CATE? On the Neglected Assumptions in Benchmark Comparisons of Treatment Effect Estimators.
CoRR, 2021

Consistency of mechanistic causal discovery in continuous-time using Neural ODEs.
CoRR, 2021

Deconfounded Score Method: Scoring DAGs with Dense Unobserved Confounding.
CoRR, 2021

Model-Attentive Ensemble Learning for Sequence Modeling.
CoRR, 2021

Personalized Education in the AI Era: What to Expect Next?
CoRR, 2021

A kernel two-sample test with selection bias.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Application of kernel hypothesis testing on set-valued data.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Preface: AAAI Spring Symposium on Survival Prediction - Algorithms, Challenges, and Applications 2021.
Proceedings of AAAI Symposium on Survival Prediction, 2021

Conformal Time-series Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Closing the loop in medical decision support by understanding clinical decision-making: A case study on organ transplantation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

SyncTwin: Treatment Effect Estimation with Longitudinal Outcomes.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Estimating Multi-cause Treatment Effects via Single-cause Perturbation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Time-series Generation by Contrastive Imitation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Really Doing Great at Estimating CATE? A Critical Look at ML Benchmarking Practices in Treatment Effect Estimation.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

On Inductive Biases for Heterogeneous Treatment Effect Estimation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Explaining Latent Representations with a Corpus of Examples.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Invariant Causal Imitation Learning for Generalizable Policies.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Inverse Decision Modeling: Learning Interpretable Representations of Behavior.
Proceedings of the 38th International Conference on Machine Learning, 2021

Explaining Time Series Predictions with Dynamic Masks.
Proceedings of the 38th International Conference on Machine Learning, 2021

Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis.
Proceedings of the 38th International Conference on Machine Learning, 2021

Policy Analysis using Synthetic Controls in Continuous-Time.
Proceedings of the 38th International Conference on Machine Learning, 2021

Clairvoyance: A Pipeline Toolkit for Medical Time Series.
Proceedings of the 9th International Conference on Learning Representations, 2021

Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

Scalable Bayesian Inverse Reinforcement Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

Learning "What-if" Explanations for Sequential Decision-Making.
Proceedings of the 9th International Conference on Learning Representations, 2021

Generative Time-series Modeling with Fourier Flows.
Proceedings of the 9th International Conference on Learning Representations, 2021

Building next-generation healthcare systems using distributed machine learning.
Proceedings of the ICDCN '21: International Conference on Distributed Computing and Networking, 2021

Learning Matching Representations for Individualized Organ Transplantation Allocation.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

A Variational Information Bottleneck Approach to Multi-Omics Data Integration.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
ioanabica/COVID-19-Brazil: Code release.
Dataset, June, 2020

A Non-Stationary Bandit-Learning Approach to Energy-Efficient Femto-Caching With Rateless-Coded Transmission.
IEEE Trans. Wirel. Commun., 2020

Guest Editorial: Introduction to the Special Section on Economics of Modern Networks.
IEEE Trans. Netw. Sci. Eng., 2020

Anonymization Through Data Synthesis Using Generative Adversarial Networks (ADS-GAN).
IEEE J. Biomed. Health Informatics, 2020

Dynamic Prediction in Clinical Survival Analysis Using Temporal Convolutional Networks.
IEEE J. Biomed. Health Informatics, 2020

Dynamic Matching and Allocation of Tasks.
ACM Trans. Economics and Comput., 2020

Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis With Competing Risks Based on Longitudinal Data.
IEEE Trans. Biomed. Eng., 2020

Deep Generative Models for 3D Linker Design.
J. Chem. Inf. Model., 2020

Dynamic network formation with foresighted agents.
Int. J. Game Theory, 2020

Flexible Modelling of Longitudinal Medical Data: A Bayesian Nonparametric Approach.
ACM Trans. Comput. Heal., 2020

Synthetic Data: Opening the data floodgates to enable faster, more directed development of machine learning methods.
CoRR, 2020

Batch Inverse Reinforcement Learning Using Counterfactuals for Understanding Decision Making.
CoRR, 2020

Hide-and-Seek Privacy Challenge.
CoRR, 2020

Generalization and Invariances in the Presence of Unobserved Confounding.
CoRR, 2020

AutoNCP: Automated pipelines for accurate confidence intervals.
CoRR, 2020

When to Lift the Lockdown? Global COVID-19 Scenario Planning and Policy Effects using Compartmental Gaussian Processes.
CoRR, 2020

Gradient Regularized V-Learning for Dynamic Treatment Regimes.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

CASTLE: Regularization via Auxiliary Causal Graph Discovery.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Hide-and-Seek Privacy Challenge: Synthetic Data Generation vs. Patient Re-identification.
Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

Strictly Batch Imitation Learning by Energy-based Distribution Matching.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning outside the Black-Box: The pursuit of interpretable models.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

OrganITE: Optimal transplant donor organ offering using an individual treatment effect.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning for Dose Allocation in Adaptive Clinical Trials with Safety Constraints.
Proceedings of the 37th International Conference on Machine Learning, 2020

Temporal Phenotyping using Deep Predictive Clustering of Disease Progression.
Proceedings of the 37th International Conference on Machine Learning, 2020

Inverse Active Sensing: Modeling and Understanding Timely Decision-Making.
Proceedings of the 37th International Conference on Machine Learning, 2020

Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift.
Proceedings of the 37th International Conference on Machine Learning, 2020

Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders.
Proceedings of the 37th International Conference on Machine Learning, 2020

Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions.
Proceedings of the 37th International Conference on Machine Learning, 2020

Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions.
Proceedings of the 37th International Conference on Machine Learning, 2020

Target-Embedding Autoencoders for Supervised Representation Learning.
Proceedings of the 8th International Conference on Learning Representations, 2020

Estimating counterfactual treatment outcomes over time through adversarially balanced representations.
Proceedings of the 8th International Conference on Learning Representations, 2020

AutoML and Interpretability: Powering the Machine Learning Revolution in Healthcare.
Proceedings of the FODS '20: ACM-IMS Foundations of Data Science Conference, 2020

Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Learning Overlapping Representations for the Estimation of Individualized Treatment Effects.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Contextual Constrained Learning for Dose-Finding Clinical Trials.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
A Non-Stationary Online Learning Approach to Mobility Management.
IEEE Trans. Wirel. Commun., 2019

Incentive Design in Peer Review: Rating and Repeated Endogenous Matching.
IEEE Trans. Netw. Sci. Eng., 2019

Repeated Network Games with Dominant Actions and Individual Rationality.
IEEE Trans. Netw. Sci. Eng., 2019

A Hierarchical Bayesian Model for Personalized Survival Predictions.
IEEE J. Biomed. Health Informatics, 2019

Distributed Task Management in Cyber-Physical Systems: How to Cooperate Under Uncertainty?
IEEE Trans. Cogn. Commun. Netw., 2019

Estimating Missing Data in Temporal Data Streams Using Multi-Directional Recurrent Neural Networks.
IEEE Trans. Biomed. Eng., 2019

Constructing effective personalized policies using counterfactual inference from biased data sets with many features.
Mach. Learn., 2019

Machine Learning in the Air.
IEEE J. Sel. Areas Commun., 2019

Guest Editorial Special Issue on Machine Learning in Wireless Communication - Part 2.
IEEE J. Sel. Areas Commun., 2019

Guest Editorial Special Issue on Machine Learning in Wireless Communication - Part I.
IEEE J. Sel. Areas Commun., 2019

A Bayesian Approach to Modelling Longitudinal Data in Electronic Health Records.
CoRR, 2019

Improving Model Robustness Using Causal Knowledge.
CoRR, 2019

Lifelong Bayesian Optimization.
CoRR, 2019

Time-series Generative Adversarial Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Conditional Independence Testing using Generative Adversarial Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Attentive State-Space Modeling of Disease Progression.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Demystifying Black-box Models with Symbolic Metamodels.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

ASAC: Active Sensing using Actor-Critic models.
Proceedings of the Machine Learning for Healthcare Conference, 2019

Multi-view Multi-task Learning for Improving Autonomous Mammogram Diagnosis.
Proceedings of the Machine Learning for Healthcare Conference, 2019

Validating Causal Inference Models via Influence Functions.
Proceedings of the 36th International Conference on Machine Learning, 2019

INVASE: Instance-wise Variable Selection using Neural Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

PATE-GAN: Generating Synthetic Data with Differential Privacy Guarantees.
Proceedings of the 7th International Conference on Learning Representations, 2019

KnockoffGAN: Generating Knockoffs for Feature Selection using Generative Adversarial Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

A Bandit Learning Approach to Energy-Efficient Femto-Caching under Uncertainty.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Temporal Quilting for Survival Analysis.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Boosting Transfer Learning with Survival Data from Heterogeneous Domains.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Sequential Patient Recruitment and Allocation for Adaptive Clinical Trials.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Optimal Piecewise Approximations for Model Interpretation.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

Joint Concordance Index.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Design of a Dynamic Data-Driven System for Multispectral Video Processing.
Proceedings of the Handbook of Dynamic Data Driven Applications Systems., 2018

ToPs: Ensemble Learning With Trees of Predictors.
IEEE Trans. Signal Process., 2018

Online Learning in Limit Order Book Trade Execution.
IEEE Trans. Signal Process., 2018

Context-Aware Hierarchical Online Learning for Performance Maximization in Mobile Crowdsourcing.
IEEE/ACM Trans. Netw., 2018

Functional Contour-following via Haptic Perception and Reinforcement Learning.
IEEE Trans. Haptics, 2018

A Micro-Foundation of Social Capital in Evolving Social Networks.
IEEE Trans. Netw. Sci. Eng., 2018

Global Bandits.
IEEE Trans. Neural Networks Learn. Syst., 2018

Personalized Risk Scoring for Critical Care Prognosis Using Mixtures of Gaussian Processes.
IEEE Trans. Biomed. Eng., 2018

Generalized Global Bandit and Its Application in Cellular Coverage Optimization.
IEEE J. Sel. Top. Signal Process., 2018

Adaptive Contextual Learning for Unit Commitment in Microgrids With Renewable Energy Sources.
IEEE J. Sel. Top. Signal Process., 2018

Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms.
IEEE J. Sel. Top. Signal Process., 2018

A Hidden Absorbing Semi-Markov Model for Informatively Censored Temporal Data: Learning and Inference.
J. Mach. Learn. Res., 2018

Protein Family-Specific Models Using Deep Neural Networks and Transfer Learning Improve Virtual Screening and Highlight the Need for More Data.
J. Chem. Inf. Model., 2018

What is Interpretable? Using Machine Learning to Design Interpretable Decision-Support Systems.
CoRR, 2018

MATCH-Net: Dynamic Prediction in Survival Analysis using Convolutional Neural Networks.
CoRR, 2018

Feature Selection for Survival Analysis with Competing Risks using Deep Learning.
CoRR, 2018

Estimation of Individual Treatment Effect in Latent Confounder Models via Adversarial Learning.
CoRR, 2018

MAMMO: A Deep Learning Solution for Facilitating Radiologist-Machine Collaboration in Breast Cancer Diagnosis.
CoRR, 2018

Risk-Stratify: Confident Stratification Of Patients Based On Risk.
CoRR, 2018

Forecasting Individualized Disease Trajectories using Interpretable Deep Learning.
CoRR, 2018

Adaptive Clinical Trials: Exploiting Sequential Patient Recruitment and Allocation.
CoRR, 2018

Forecasting Disease Trajectories in Alzheimer's Disease Using Deep Learning.
CoRR, 2018

Measuring the quality of Synthetic data for use in competitions.
CoRR, 2018

Piecewise Approximations of Black Box Models for Model Interpretation.
CoRR, 2018

Disease-Atlas: Navigating Disease Trajectories with Deep Learning.
CoRR, 2018

Learning Optimal Policies from Observational Data.
CoRR, 2018

Multitask Boosting for Survival Analysis with Competing Risks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Disease-Atlas: Navigating Disease Trajectories using Deep Learning.
Proceedings of the Machine Learning for Healthcare Conference, 2018

Boosted Trees for Risk Prognosis.
Proceedings of the Machine Learning for Healthcare Conference, 2018

RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks.
Proceedings of the 35th International Conference on Machine Learning, 2018

GAIN: Missing Data Imputation using Generative Adversarial Nets.
Proceedings of the 35th International Conference on Machine Learning, 2018

AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design.
Proceedings of the 35th International Conference on Machine Learning, 2018

Deep Sensing: Active Sensing using Multi-directional Recurrent Neural Networks.
Proceedings of the 6th International Conference on Learning Representations, 2018

GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial Nets.
Proceedings of the 6th International Conference on Learning Representations, 2018

A Non-Stationary Online Learning Approach to Mobility Management.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Siamese Survival Analysis with Competing Risks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

RNN-SURV: A Deep Recurrent Model for Survival Analysis.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Tree-based Bayesian Mixture Model for Competing Risks.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

DeepHit: A Deep Learning Approach to Survival Analysis With Competing Risks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Deep-Treat: Learning Optimal Personalized Treatments From Observational Data Using Neural Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Context-Aware Proactive Content Caching With Service Differentiation in Wireless Networks.
IEEE Trans. Wirel. Commun., 2017

Distributed Learning for Stochastic Generalized Nash Equilibrium Problems.
IEEE Trans. Signal Process., 2017

Adaptive Ensemble Learning With Confidence Bounds.
IEEE Trans. Signal Process., 2017

Social Norm Incentives for Network Coding in Manets.
IEEE/ACM Trans. Netw., 2017

Discovery and Clinical Decision Support for Personalized Healthcare.
IEEE J. Biomed. Health Informatics, 2017

A Machine Learning Approach for Tracking and Predicting Student Performance in Degree Programs.
IEEE J. Sel. Top. Signal Process., 2017

Introduction to the Issue on Signal Processing and Machine Learning.
IEEE J. Sel. Top. Signal Process., 2017

From Acquaintances to Friends: Homophily and Learning in Networks.
IEEE J. Sel. Areas Commun., 2017

Actionable intelligence and online learning for semantic computing.
Encycl. Semantic Comput. Robotic Intell., 2017

Personalized Survival Predictions for Cardiac Transplantation via Trees of Predictors.
CoRR, 2017

Individualized Risk Prognosis for Critical Care Patients: A Multi-task Gaussian Process Model.
CoRR, 2017

Deep Counterfactual Networks with Propensity-Dropout.
CoRR, 2017

Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes.
CoRR, 2017

A Learning Approach to Frequent Handover Mitigations in 3GPP Mobility Protocols.
Proceedings of the 2017 IEEE Wireless Communications and Networking Conference, 2017

DPSCREEN: Dynamic Personalized Screening.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis.
Proceedings of the 34th International Conference on Machine Learning, 2017

Learn to adapt: Self-optimizing small cell transmit power with correlated bandit learning.
Proceedings of the IEEE International Conference on Communications, 2017

Bandit strategies for blindly attacking networks.
Proceedings of the IEEE International Conference on Communications, 2017

Personalized Donor-Recipient Matching for Organ Transplantation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Progressive Prediction of Student Performance in College Programs.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Jamming Bandits - A Novel Learning Method for Optimal Jamming.
IEEE Trans. Wirel. Commun., 2016

Predicting Grades.
IEEE Trans. Signal Process., 2016

Personalized Course Sequence Recommendations.
IEEE Trans. Signal Process., 2016

Collision Detection by Networked Sensors.
IEEE Trans. Signal Inf. Process. over Networks, 2016

Dynamic Pricing and Energy Consumption Scheduling With Reinforcement Learning.
IEEE Trans. Smart Grid, 2016

Online Learning in Large-Scale Contextual Recommender Systems.
IEEE Trans. Serv. Comput., 2016

Trend-Aware Video Caching Through Online Learning.
IEEE Trans. Multim., 2016

ConfidentCare: A Clinical Decision Support System for Personalized Breast Cancer Screening.
IEEE Trans. Multim., 2016

To Relay or Not to Relay: Learning Device-to-Device Relaying Strategies in Cellular Networks.
IEEE Trans. Mob. Comput., 2016

Using Contextual Learning to Improve Diagnostic Accuracy: Application in Breast Cancer Screening.
IEEE J. Biomed. Health Informatics, 2016

Big-Data Streaming Applications Scheduling Based on Staged Multi-Armed Bandits.
IEEE Trans. Computers, 2016

Context-based unsupervised ensemble learning and feature ranking.
Mach. Learn., 2016

Personalized Active Learning for Activity Classification Using Wireless Wearable Sensors.
IEEE J. Sel. Top. Signal Process., 2016

A Non-Stochastic Learning Approach to Energy Efficient Mobility Management.
IEEE J. Sel. Areas Commun., 2016

Bits Learning: User-Adjustable Privacy Versus Accuracy in Internet Traffic Classification.
IEEE Commun. Lett., 2016

Data-Driven Online Decision Making with Costly Information Acquisition.
CoRR, 2016

A Semi-Markov Switching Linear Gaussian Model for Censored Physiological Data.
CoRR, 2016

Personalized Risk Scoring for Critical Care Patients using Mixtures of Gaussian Process Experts.
CoRR, 2016

Repeated Matching Mechanism Design with Moral Hazard and Adverse Selection.
CoRR, 2016

Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

A Non-parametric Learning Method for Confidently Estimating Patient's Clinical State and Dynamics.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Popularity-driven content caching.
Proceedings of the 35th Annual IEEE International Conference on Computer Communications, 2016

ForecastICU: A Prognostic Decision Support System for Timely Prediction of Intensive Care Unit Admission.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Bounded Off-Policy Evaluation with Missing Data for Course Recommendation and Curriculum Design.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Smart caching in wireless small cell networks via contextual multi-armed bandits.
Proceedings of the 2016 IEEE International Conference on Communications, 2016

Adaptive learning for stochastic generalized Nash equilibrium problems.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Contextual learning for unit commitment with renewable energy sources.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Data Mining for Medical Informatics (DMMI) - Learning Health.
Proceedings of the AMIA 2016, 2016

Adaptive Ensemble Learning with Confidence Bounds for Personalized Diagnosis.
Proceedings of the Expanding the Boundaries of Health Informatics Using AI, 2016

2015
Efficient Interference Management Policies for Femtocell Networks.
IEEE Trans. Wirel. Commun., 2015

Distributed Multi-Agent Online Learning Based on Global Feedback.
IEEE Trans. Signal Process., 2015

Distributed Online Learning via Cooperative Contextual Bandits.
IEEE Trans. Signal Process., 2015

Timely Event Detection by Networked Learners.
IEEE Trans. Signal Process., 2015

Information-Sharing Over Adaptive Networks With Self-Interested Agents.
IEEE Trans. Signal Inf. Process. over Networks, 2015

Ensemble of Distributed Learners for Online Classification of Dynamic Data Streams.
IEEE Trans. Signal Inf. Process. over Networks, 2015

Adaptive Prioritized Random Linear Coding and Scheduling for Layered Data Delivery From Multiple Servers.
IEEE Trans. Multim., 2015

Contextual Online Learning for Multimedia Content Aggregation.
IEEE Trans. Multim., 2015

A Dynamic Network Formation Model for Understanding Bacterial Self-Organization Into Micro-Colonies.
IEEE Trans. Mol. Biol. Multi Scale Commun., 2015

Active Learning in Context-Driven Stream Mining With an Application to Image Mining.
IEEE Trans. Image Process., 2015

Discover the Expert: Context-Adaptive Expert Selection for Medical Diagnosis.
IEEE Trans. Emerg. Top. Comput., 2015

Socially-Optimal Design of Service Exchange Platforms with Imperfect Monitoring.
ACM Trans. Economics and Comput., 2015

Game Theoretic Design of MAC Protocols: Pricing Versus Intervention.
IEEE Trans. Commun., 2015

Blind Network Interdiction Strategies - A Learning Approach.
IEEE Trans. Cogn. Commun. Netw., 2015

Self-Organizing Networks of Information Gathering Cognitive Agents.
IEEE Trans. Cogn. Commun. Netw., 2015

The Population Dynamics of Websites: [Extended Abstract].
SIGMETRICS Perform. Evaluation Rev., 2015

Real-time stream mining: online knowledge extraction using classifier networks.
IEEE Netw., 2015

Forecasting Popularity of Videos Using Social Media.
IEEE J. Sel. Top. Signal Process., 2015

Mining the Situation: Spatiotemporal Traffic Prediction With Big Data.
IEEE J. Sel. Top. Signal Process., 2015

Optimal Foresighted Multi-User Wireless Video.
IEEE J. Sel. Top. Signal Process., 2015

RELEAF: An Algorithm for Learning and Exploiting Relevance.
IEEE J. Sel. Top. Signal Process., 2015

Bandit Framework for Systematic Learning in Wireless Video-Based Face Recognition.
IEEE J. Sel. Top. Signal Process., 2015

Efficient Working and Shirking in Information Sharing Networks.
IEEE J. Sel. Areas Commun., 2015

Silence is Gold: Strategic Interference Mitigation Using Tokens in Heterogeneous Small Cell Networks.
IEEE J. Sel. Areas Commun., 2015

Distributed Interference Management Policies for Heterogeneous Small Cell Networks.
IEEE J. Sel. Areas Commun., 2015

Incentive-compatible demand-side management for smart grids based on review strategies.
EURASIP J. Adv. Signal Process., 2015

Caring Analytics for Adults With Special Needs.
IEEE Des. Test, 2015

Reputational Learning and Network Dynamics.
CoRR, 2015

Staged Multi-armed Bandits.
CoRR, 2015

Evolution of Social Networks: A Microfounded Model.
CoRR, 2015

A Reinforcement Learning-based Data-Link Protocol for Underwater Acoustic Communications.
Proceedings of the 10th International Conference on Underwater Networks & Systems, 2015

BitMiner: Bits Mining in Internet Traffic Classification.
Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication, 2015

Timely video popularity forecasting based on social networks.
Proceedings of the 2015 IEEE Conference on Computer Communications, 2015

Context-based Unsupervised Data Fusion for Decision Making.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Personalized Grade Prediction: A Data Mining Approach.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Multiobjective Design Optimization in the Lightweight Dataflow for DDDAS Environment (LiD4E)<sup>1</sup>.
Proceedings of the International Conference on Computational Science, 2015

A systematic learning method for optimal jamming.
Proceedings of the 2015 IEEE International Conference on Communications, 2015

eTutor: Online learning for personalized education.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Network formation games based on conditional independence graphs.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A data-driven approach for matching clinical expertise to individual cases.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

To Send or Not to Send - Learning MAC Contention.
Proceedings of the 2015 IEEE Global Communications Conference, 2015

Optimal intervention for incentivizing the adoption of commercial electric vehicles.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Big-data streaming applications scheduling with online learning and concept drift detection.
Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015

Global Multi-armed Bandits with Hölder Continuity.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Online Transfer Learning for Differential Diagnosis Determination.
Proceedings of the World Wide Web and Public Health Intelligence, 2015

2014
Technology Choices and Pricing Policies in Public and Private Wireless Networks.
IEEE Trans. Wirel. Commun., 2014

Robust Power Control for Heterogeneous Users in Shared Unlicensed Bands.
IEEE Trans. Wirel. Commun., 2014

Coalitional Games With Intervention: Application to Spectrum Leasing in Cognitive Radio.
IEEE Trans. Wirel. Commun., 2014

Robust Additively Coupled Games in the Presence of Bounded Uncertainty in Communication Networks.
IEEE Trans. Veh. Technol., 2014

Collective Ratings for Online Communities With Strategic Users.
IEEE Trans. Signal Process., 2014

Dynamic Scheduling for Energy Minimization in Delay-Sensitive Stream Mining.
IEEE Trans. Signal Process., 2014

Dynamic Scheduling and Pricing in Wireless Cloud Computing.
IEEE Trans. Mob. Comput., 2014

Rating Protocols in Online Communities.
ACM Trans. Economics and Comput., 2014

Energy-Efficient Nonstationary Spectrum Sharing.
IEEE Trans. Commun., 2014

Online Energy-Efficient Task-Graph Scheduling for Multicore Platforms.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2014

A fast online learning algorithm for distributed mining of BigData.
SIGMETRICS Perform. Evaluation Rev., 2014

Incentive design for heterogeneous user-generated content networks.
SIGMETRICS Perform. Evaluation Rev., 2014

Sharing in Networks of Strategic Agents.
IEEE J. Sel. Top. Signal Process., 2014

Distributed Online Learning in Social Recommender Systems.
IEEE J. Sel. Top. Signal Process., 2014

Dynamic Incentive Design for Participation in Direct Load Scheduling Programs.
IEEE J. Sel. Top. Signal Process., 2014

Structure-Aware Stochastic Storage Management in Smart Grids.
IEEE J. Sel. Top. Signal Process., 2014

Cooperative Multi-Agent Learning and Coordination for Cognitive Radio Networks.
IEEE J. Sel. Areas Commun., 2014

Non-Stationary Resource Allocation Policies for Delay-Constrained Video Streaming: Application to Video over Internet-of-Things-Enabled Networks.
IEEE J. Sel. Areas Commun., 2014

Demand Side Management in Smart Grids Using a Repeated Game Framework.
IEEE J. Sel. Areas Commun., 2014

Foresighted Demand Side Management.
CoRR, 2014

eTutor: Online Learning for Personalized Education.
CoRR, 2014

Global Bandits with Holder Continuity.
CoRR, 2014

Jamming Bandits.
CoRR, 2014

A dynamic model of certification and reputation.
Proceedings of the ACM Conference on Economics and Computation, 2014

Discovering, Learning and Exploiting Relevance.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Low Power and Scalable Many-Core Architecture for Big-Data Stream Computing.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2014

Structure-aware stochastic load management in smart grids.
Proceedings of the 2014 IEEE Conference on Computer Communications, 2014

Dynamic pricing for smart grid with reinforcement learning.
Proceedings of the 2014 Proceedings IEEE INFOCOM Workshops, Toronto, ON, Canada, April 27, 2014

Context-Aware Online Spatiotemporal Traffic Prediction.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Real-time discovery and decision making from big data.
Proceedings of the IEEE International Conference on Consumer Electronics - Taiwan, 2014

Model Based Design Environment for Data-driven Embedded Signal Processing Systems.
Proceedings of the International Conference on Computational Science, 2014

Incentivizing information sharing in networks.
Proceedings of the IEEE International Conference on Acoustics, 2014

Optimal foresighted packet scheduling and resource allocation for multi-user video transmission in 4G cellular networks.
Proceedings of the IEEE International Conference on Acoustics, 2014

Non-stationary demand side management method for smart grids.
Proceedings of the IEEE International Conference on Acoustics, 2014

Clustering based online learning in recommender systems: A bandit approach.
Proceedings of the IEEE International Conference on Acoustics, 2014

A network of cooperative learners for data-driven stream Mining.
Proceedings of the IEEE International Conference on Acoustics, 2014

Intervention framework for counteracting collusion in spectrum leasing systems.
Proceedings of the IEEE International Conference on Acoustics, 2014

Context-driven online learning for activity classification in wireless health.
Proceedings of the IEEE Global Communications Conference, 2014

Spectrum sharing for delay-sensitive applications with continuing QoS guarantees.
Proceedings of the IEEE Global Communications Conference, 2014

Silence is gold: Strategic small cell interference management using tokens.
Proceedings of the IEEE Global Communications Conference, 2014

Towards a theory of societal co-evolution: Individualism versus collectivism.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Decentralized foresighted energy purchase and procurement with renewable generation and energy storage.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Ensemble Online Clustering through Decentralized Observations.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

A unified online directed acyclic graph flow manager for multicore schedulers.
Proceedings of the 19th Asia and South Pacific Design Automation Conference, 2014

Rating and matching in peer review systems.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

An experts learning approach to mobile service offloading.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

Context-adaptive big data stream mining.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

Network evolution with incomplete information and learning.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2013
Finding It Now: Construction and Configuration of Networked Classifiers in Real-Time Stream Mining Systems.
Proceedings of the Handbook of Signal Processing Systems, 2013

Optimal Scheduling over Time-Varying Channels with Traffic Admission Control: Structural Results and Online Learning Algorithms.
IEEE Trans. Wirel. Commun., 2013

Conjecture-Based Load Balancing for Delay-Sensitive Users Without Message Exchanges.
IEEE Trans. Veh. Technol., 2013

Online Learning Based Congestion Control for Adaptive Multimedia Transmission.
IEEE Trans. Signal Process., 2013

Entry and Spectrum Sharing Scheme Selection in Femtocell Communications Markets.
IEEE/ACM Trans. Netw., 2013

Efficient Resource Provisioning and Rate Selection for Stream Mining in a Community Cloud.
IEEE Trans. Multim., 2013

Markov Decision Process Based Energy-Efficient On-Line Scheduling for Slice-Parallel Video Decoders on Multicore Systems.
IEEE Trans. Multim., 2013

Joint Physical-Layer and System-Level Power Management for Delay-Sensitive Wireless Communications.
IEEE Trans. Mob. Comput., 2013

Token System Design for Autonomic Wireless Relay Networks.
IEEE Trans. Commun., 2013

Intervention with Complete and Incomplete Information: Application to Flow Control.
IEEE Trans. Commun., 2013

Intervention with Private Information, Imperfect Monitoring and Costly Communication.
IEEE Trans. Commun., 2013

Robust Reputation Protocol Design for Online Communities: A Stochastic Stability Analysis.
IEEE J. Sel. Top. Signal Process., 2013

Winning the Lottery: Learning Perfect Coordination With Minimal Feedback.
IEEE J. Sel. Top. Signal Process., 2013

Incentive Provision and Job Allocation in Social Cloud Systems.
IEEE J. Sel. Areas Commun., 2013

Strategic Networks: Information Dissemination and Link Formation Among Self-Interested Agents.
IEEE J. Sel. Areas Commun., 2013

Bidirectional Energy Trading and Residential Load Scheduling with Electric Vehicles in the Smart Grid.
IEEE J. Sel. Areas Commun., 2013

Information Sharing in Networks of Strategic Agents.
CoRR, 2013

Decentralized Online Big Data Classification - a Bandit Framework.
CoRR, 2013

Dynamic Network Formation with Incomplete Information.
CoRR, 2013

Designing Efficient Resource Sharing For Impatient Players Using Limited Monitoring.
CoRR, 2013

To Relay or Not to Relay: Learning Relaying Strategies in Cellular Device-to-Device Networks.
CoRR, 2013

Reputation design for adaptive networks with selfish agents.
Proceedings of the 14th IEEE Workshop on Signal Processing Advances in Wireless Communications, 2013

Joint design of Dynamic Scheduling and Pricing in wireless cloud computing.
Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013

Tiered billing scheme for residential load scheduling with bidirectional energy trading.
Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013

Bidirectional energy trading for residential load scheduling and electric vehicles.
Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013

Low-complexity reinforcement learning for delay-sensitive compression in networked video stream mining.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013

A novel framework for design and implementation of adaptive stream mining systems.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013

Markov decision process based energy-efficient scheduling for slice-parallel video decoding.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

A learning based congestion control for multimedia transmission in wireless networks.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013

A Design Methodology for Distributed Adaptive Stream Mining Systems.
Proceedings of the International Conference on Computational Science, 2013

Joint scheduling - Traffic admission control: Structural results and online learning algorithm.
Proceedings of IEEE International Conference on Communications, 2013

Strategic information dissemination and link formation in social networks.
Proceedings of the IEEE International Conference on Acoustics, 2013

Rating systems for enhanced cyber-security investments.
Proceedings of the IEEE International Conference on Acoustics, 2013

Socially-optimal design of crowdsourcing platforms with reputation update errors.
Proceedings of the IEEE International Conference on Acoustics, 2013

Energy-efficient design of real-time stream mining systems.
Proceedings of the IEEE International Conference on Acoustics, 2013

Learning perfect coordination with minimal feedback in wireless multi-access communications.
Proceedings of the 2013 IEEE Global Communications Conference, 2013

Energy-efficient nonstationary power control in cognitive radio networks.
Proceedings of the 2013 IEEE Global Communications Conference, 2013

Learning relaying strategies in cellular D2D networks with token-based incentives.
Proceedings of the Workshops Proceedings of the Global Communications Conference, 2013

Utility-based server management strategy in cloud networks.
Proceedings of the Workshops Proceedings of the Global Communications Conference, 2013

Cluster formation over adaptive networks with selfish agents.
Proceedings of the 21st European Signal Processing Conference, 2013

Distributed spectrum sensing in the presence of selfish users.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

Strategic information dissemination in endogenous networks.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

Learning optimal classifier chains for real-time big data mining.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

Nonstationary resource sharing with imperfect binary feedback: An optimal design framework for cost minimization.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

Spectrum sharing policies for heterogeneous delay-sensitive users: A novel design framework.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

Distributed online Big Data classification using context information.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

Game theoretic design of MAC protocols: Pricing and intervention in slotted-Aloha.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

Incentive design for Direct Load Control programs.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

Distributed demand side management among foresighted decision makers in power networks.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012
Structure-Aware Stochastic Control for Transmission Scheduling.
IEEE Trans. Veh. Technol., 2012

AppAdapt: Opportunistic Application Adaptation in Presence of Hardware Variation.
IEEE Trans. Very Large Scale Integr. Syst., 2012

Data Demand Dynamics in Wireless Communications Markets.
IEEE Trans. Signal Process., 2012

Online Learning in BitTorrent Systems.
IEEE Trans. Parallel Distributed Syst., 2012

Near-Optimal Deviation-Proof Medium Access Control Designs in Wireless Networks.
IEEE/ACM Trans. Netw., 2012

A Quality-Centric TCP-Friendly Congestion Control for Multimedia Transmission.
IEEE Trans. Multim., 2012

Pricing and Investment for Online TV Content Platforms.
IEEE Trans. Multim., 2012

Analytical Modeling for Delay-Sensitive Video Over WLAN.
IEEE Trans. Multim., 2012

Structural Solutions for Dynamic Scheduling in Wireless Multimedia Transmission.
IEEE Trans. Circuits Syst. Video Technol., 2012

Repeated Games with Intervention: Theory and Applications in Communications.
IEEE Trans. Commun., 2012

Structural Solutions for Additively Coupled Sum Constrained Games.
IEEE Trans. Commun., 2012

Peer-to-Peer multimedia sharing based on social norms.
Signal Process. Image Commun., 2012

Intervention in Power Control Games With Selfish Users.
IEEE J. Sel. Top. Signal Process., 2012

Congestion, Information, and Secret Information in Flow Networks.
IEEE J. Sel. Top. Signal Process., 2012

Information Production and Link Formation in Social Computing Systems.
IEEE J. Sel. Areas Commun., 2012

Social Norm Design for Information Exchange Systems with Limited Observations.
IEEE J. Sel. Areas Commun., 2012

Dynamic Spectrum Sharing Among Repeatedly Interacting Selfish Users With Imperfect Monitoring.
IEEE J. Sel. Areas Commun., 2012

The Theory of Intervention Games for Resource Sharing in Wireless Communications.
IEEE J. Sel. Areas Commun., 2012

Transmitting Important Bits and Sailing High Radio Waves: A Decentralized Cross-Layer Approach to Cooperative Video Transmission.
IEEE J. Sel. Areas Commun., 2012

MOS-Based Congestion Control for Conversational Services in Wireless Environments.
IEEE J. Sel. Areas Commun., 2012

Pricing and Intervention in Slotted-Aloha: Technical Report
CoRR, 2012

Designing Rating Systems to Promote Mutual Security for Interconnected Networks
CoRR, 2012

Designing Information Revelation and Intervention with an Application to Flow Control
CoRR, 2012

Entry and Spectrum Sharing Scheme Selection in Femtocell Markets
CoRR, 2012

Designing incentives for wireless relay networks using tokens.
Proceedings of the 10th International Symposium on Modeling and Optimization in Mobile, 2012

Social norm incentives for secure network coding in MANETs.
Proceedings of the International Symposium on Network Coding, 2012

Reputation-based incentive protocols in crowdsourcing applications.
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

Maximizing profit on user-generated content platforms with heterogeneous participants.
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

QoE-aware congestion control algorithm for conversational services.
Proceedings of IEEE International Conference on Communications, 2012

Towards Social Norm Design for Crowdsourcing Markets.
Proceedings of the 4th Human Computation Workshop, 2012

Token-Based Incentive Protocol Design for Online Exchange Systems.
Proceedings of the Game Theory for Networks, 2012

Revenue Maximization in Customer-to-Customer Markets.
Proceedings of the Game Theory for Networks, 2012

Sustaining cooperation in social exchange networks with incomplete global information.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Energy-efficient community cloud for real-time stream mining.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Mitigating uncertainty in Stackelberg games.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Collective ratings for online labor markets.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

Repeated resource sharing among selfish players with imperfect binary feedback.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

Distributed spectrum sharing policies for selfish users with imperfect monitoring ability.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

Token economy for online exchange systems.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

2011
Autonomic and Distributed Joint Routing and Power Control for Delay-Sensitive Applications in Multi-Hop Wireless Networks.
IEEE Trans. Wirel. Commun., 2011

Pricing and Distributed Power Control in Wireless Relay Networks.
IEEE Trans. Signal Process., 2011

Adaptive MAC Protocols Using Memory for Networks With Critical Traffic.
IEEE Trans. Signal Process., 2011

Fast Reinforcement Learning for Energy-Efficient Wireless Communication.
IEEE Trans. Signal Process., 2011

Editorial.
IEEE Trans. Multim., 2011

Configuring Trees of Classifiers in Distributed Multimedia Stream Mining Systems.
IEEE Trans. Circuits Syst. Video Technol., 2011

Linearly Coupled Communication Games.
IEEE Trans. Commun., 2011

Cognitive MAC Protocols Using Memory for Distributed Spectrum Sharing Under Limited Spectrum Sensing.
IEEE Trans. Commun., 2011

Production and Network Formation Games with Content Heterogeneity
CoRR, 2011

Designing Exchange for Online Communities
CoRR, 2011

Strategic Learning and Robust Protocol Design for Online Communities with Selfish Users
CoRR, 2011

Robust Stackelberg game in communication systems
CoRR, 2011

Robust Additively Coupled Games
CoRR, 2011

Social Norms for Networked Communities
CoRR, 2011

Foresighted tree configuration games in resource constrained distributed stream mining sensors.
Ad Hoc Networks, 2011

User subscription dynamics and revenue maximization in communications markets.
Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

Incentive provision using intervention.
Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

Reinforcement learning in BitTorrent systems.
Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

Reinforcement learning for power management in wireless multimedia communications.
Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, 2011

Keynote Abstracts.
Proceedings of the Sixth International Conference on Image and Graphics, 2011

Social norm and long-run learning in peer-to-peer networks.
Proceedings of the IEEE International Conference on Acoustics, 2011

Social norm based incentive mechanisms for peer-to-peer networks.
Proceedings of the IEEE International Conference on Acoustics, 2011

Content-aware TCP-friendly congestion control for multimedia transmission.
Proceedings of the IEEE International Conference on Acoustics, 2011

Reinforcement learning for energy-efficient wireless transmission.
Proceedings of the IEEE International Conference on Acoustics, 2011

Adaptive scalable layer filtering process for video scheduling over wireless networks based on MAC buffer management.
Proceedings of the IEEE International Conference on Acoustics, 2011

Designing Incentives for P2P Multimedia Sharing.
Proceedings of the Global Communications Conference, 2011

Design and Analysis of Intervention Mechanisms in Power Control Games.
Proceedings of the Global Communications Conference, 2011

Traffic-Dependent Pricing for Delay-Sensitive Multimedia Networks.
Proceedings of the Global Communications Conference, 2011

Robust Equilibria in Additively Coupled Games in Communications Networks.
Proceedings of the Global Communications Conference, 2011

A Decentralized Cross-Layer Approach to Cooperative Video Transmission.
Proceedings of the Global Communications Conference, 2011

Designing Social Norm Based Incentive Schemes to Sustain Cooperation in a Large Community.
Proceedings of the Game Theory for Networks - 2nd International ICST Conference, 2011

Technology Choices and Pricing Policies in Wireless Networks.
Proceedings of the Game Theory for Networks - 2nd International ICST Conference, 2011

Additively Coupled Sum Constrained Games.
Proceedings of the Game Theory for Networks - 2nd International ICST Conference, 2011

Designing Incentive Schemes Based on Intervention: The Case of Imperfect Monitoring.
Proceedings of the Game Theory for Networks - 2nd International ICST Conference, 2011

User adaptation and long-run evolution in online communities.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Data demand dynamics and profit maximization in communications markets.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Secret information in communications networks.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Influencing the long-term evolution of online communities using social norms.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

Minimizing weighted sum finish time for one-to-many file transfer in peer-to-peer networks.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

Profit maximization on user-generated content platforms.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010
Distributed power allocation in multi-user multi-channel cellular relay networks.
IEEE Trans. Wirel. Commun., 2010

On-line learning and optimization for wireless video transmission.
IEEE Trans. Signal Process., 2010

Evolution of resource reciprocation strategies in P2P networks.
IEEE Trans. Signal Process., 2010

Decomposition principles and online learning in cross-layer optimization for delay-sensitive applications.
IEEE Trans. Signal Process., 2010

Medium Access Control Protocols With Memory.
IEEE/ACM Trans. Netw., 2010

A Low-Complexity Analytical Modeling for Cross-Layer Adaptive Error Protection in Video Over WLAN.
IEEE Trans. Multim., 2010

Online Reinforcement Learning for Dynamic Multimedia Systems.
IEEE Trans. Image Process., 2010

A Distributed Approach for Optimizing Cascaded Classifier Topologies in Real-Time Stream Mining Systems.
IEEE Trans. Image Process., 2010

Information-Constrained Resource Allocation in Multicamera Wireless Surveillance Networks.
IEEE Trans. Circuits Syst. Video Technol., 2010

Fairness Strategies for Wireless Resource Allocation Among Autonomous Multimedia Users.
IEEE Trans. Circuits Syst. Video Technol., 2010

Optimality and Improvement of Dynamic Voltage Scaling Algorithms for Multimedia Applications.
IEEE Trans. Circuits Syst. I Regul. Pap., 2010

A Game Theoretic Analysis of Incentives in Content Production and Sharing Over Peer-to-Peer Networks.
IEEE J. Sel. Top. Signal Process., 2010

Adaptive Topologic Optimization for Large-Scale Stream Mining.
IEEE J. Sel. Top. Signal Process., 2010

Dynamic conjectures in random access networks using bio-inspired learning.
IEEE J. Sel. Areas Commun., 2010

Online learning in autonomic multi-hop wireless networks for transmitting mission-critical applications.
IEEE J. Sel. Areas Commun., 2010

A systematic framework for dynamically optimizing multi-user wireless video transmission.
IEEE J. Sel. Areas Commun., 2010

A unique beamforming-based equilibrium in multi-user random access SIMO networks.
IEEE Commun. Lett., 2010

MAC Layer Jamming Mitigation Using a Game Augmented by Intervention.
EURASIP J. Wirel. Commun. Netw., 2010

Designing Incentive Schemes Based on Intervention: The Case of Perfect Monitoring
CoRR, 2010

Fast Reinforcement Learning for Energy-Efficient Wireless Communications
CoRR, 2010

Structural Solutions to Dynamic Scheduling for Multimedia Transmission in Unknown Wireless Environments
CoRR, 2010

Intervention Mechanism Design for Networks With Selfish Users
CoRR, 2010

Minimizing weighted sum delay for one-to-many file transfer in peer-to-peer networks
CoRR, 2010

Content Pricing in Peer-to-Peer Networks.
Proceedings of the 2010 Workshop on the Economics of Networks, Systems, and Computation, 2010

Online layered learning for cross-layer optimization of dynamic multimedia systems.
Proceedings of the First Annual ACM SIGMM Conference on Multimedia Systems, 2010

Designing and optimizing large-scale multimedia mining applications in distributed processing environments.
Proceedings of the 18th International Conference on Multimedia 2010, 2010

End-to-end stochastic scheduling of scalable video overtime-varying channels.
Proceedings of the 18th International Conference on Multimedia 2010, 2010

Pricing and Incentives in Peer-to-Peer Networks.
Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010

Ordering of stream mining classifiers.
Proceedings of the International Conference on Image Processing, 2010

Pricing and Distributed Power Control for Relay Networks.
Proceedings of IEEE International Conference on Communications, 2010

Sailing good radio waves and transmitting important bits: Relay cooperation in wireless video transmission.
Proceedings of the IEEE International Conference on Acoustics, 2010

A new approach to cross-layer optimization of multimedia systems.
Proceedings of the IEEE International Conference on Acoustics, 2010

Online reinforcement learning for multimedia buffer control.
Proceedings of the IEEE International Conference on Acoustics, 2010

Dependent optimal stopping framework for wireless multimedia transmission.
Proceedings of the IEEE International Conference on Acoustics, 2010

Software adaptation in quality sensitive applications to deal with hardware variability.
Proceedings of the 20th ACM Great Lakes Symposium on VLSI 2009, 2010

Towards Efficient, Stable, and Fair Random Access Networks: A Conjectural Equilibrium Approach.
Proceedings of the Global Communications Conference, 2010

User Subscription Dynamics in Communication Markets.
Proceedings of the Global Communications Conference, 2010

Design and Analysis of Defection-Proof MAC Protocols Using a Repeated Game Framework.
Proceedings of the Global Communications Conference, 2010

2009
A new perspective on multi-user power control games in interference channels.
IEEE Trans. Wirel. Commun., 2009

Minimum Required Learning and Impact of Information Feedback Delay for Cognitive Users.
IEEE Trans. Veh. Technol., 2009

Feedback-Driven Interactive Learning in Dynamic Wireless Resource Management for Delay-Sensitive Users.
IEEE Trans. Veh. Technol., 2009

Distributed Resource Management in Multihop Cognitive Radio Networks for Delay-Sensitive Transmission.
IEEE Trans. Veh. Technol., 2009

Learning to Compete for Resources in Wireless Stochastic Games.
IEEE Trans. Veh. Technol., 2009

A New Systematic Framework for Autonomous Cross-Layer Optimization.
IEEE Trans. Veh. Technol., 2009

Conjectural equilibrium in multiuser power control games.
IEEE Trans. Signal Process., 2009

Coalition-Based Resource Negotiation for Multimedia Applications in Informationally Decentralized Networks.
IEEE Trans. Multim., 2009

A Framework for Foresighted Resource Reciprocation in P2P Networks.
IEEE Trans. Multim., 2009

Automated Bidding for Media Services at the Edge of a Content Delivery Network.
IEEE Trans. Multim., 2009

Quality-Based Resource Brokerage for Autonomous Networked Multimedia Applications.
IEEE Trans. Circuits Syst. Video Technol., 2009

Towards a General Framework for Cross-Layer Decision Making in Multimedia Systems.
IEEE Trans. Circuits Syst. Video Technol., 2009

Statistical Framework for Video Decoding Complexity Modeling and Prediction.
IEEE Trans. Circuits Syst. Video Technol., 2009

Informationally Decentralized System Resource Management for Multiple Multimedia Tasks.
IEEE Trans. Circuits Syst. Video Technol., 2009

On the Impact of Bounded Rationality in Peer-to-Peer Networks.
IEEE Signal Process. Lett., 2009

On the Correlated Equilibrium Selection for Two-User Channel Access Games.
IEEE Signal Process. Lett., 2009

Cross Layer Design and Analysis of Multiuser Wireless Video Streaming Over 802.11e EDCA.
IEEE Signal Process. Lett., 2009

Designing autonomous layered video coders.
Signal Process. Image Commun., 2009

Spectrum Access Games and Strategic Learning in Cognitive Radio Networks for Delay-Critical Applications.
Proc. IEEE, 2009

Predictive Spectrum Access for Multimedia Users over Multi-Channel Wireless Networks.
J. Commun., 2009

Stackelberg Contention Games in Multiuser Networks.
EURASIP J. Adv. Signal Process., 2009

A Rules-Based Approach for Configuring Chains of Classifiers in Real-Time Stream Mining Systems.
EURASIP J. Adv. Signal Process., 2009

Media-TCP: A Quality-Centric TCP-Friendly Congestion Control for Multimedia Transmission
CoRR, 2009

Structural Solutions for Cross-Layer Optimization of Wireless Multimedia Transmission
CoRR, 2009

Mission-Aware Medium Access Control in Random Access Networks
CoRR, 2009

Efficient resource management with reduced overhead information.
Proceedings of the IEEE 20th International Symposium on Personal, 2009

Revenue maximization and distributed power allocation in cognitive radio networks.
Proceedings of the 2009 ACM Workshop on Cognitive Radio Networks, CoRoNet 2009, Beijing, 2009

Topology selection for stream mining systems.
Proceedings of the First ACM workshop on Large-scale multimedia retrieval and mining, 2009

Resource-adaptive multimedia analysis on stream mining systems.
Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009

Tree configuration games for distributed stream mining systems.
Proceedings of the IEEE International Conference on Acoustics, 2009

A framework for distributed multimedia stream mining systems using coalition-based foresighted strategies.
Proceedings of the IEEE International Conference on Acoustics, 2009

Evolution of social P2P networks based on the dynamics of heterogeneous multimedia peers.
Proceedings of the IEEE International Conference on Acoustics, 2009

Conjectural Equilibrium in Water-Filling Games.
Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009

From competition to coopetition: Stackelberg equilibrium in multi-user power control games.
Proceedings of the 1st International Conference on Game Theory for Networks, 2009

Conjecture-based channel selection game for delay-sensitive users in multi-channel wireless networks.
Proceedings of the 1st International Conference on Game Theory for Networks, 2009

Achieving coordination in random access networks without explicit message passing.
Proceedings of the 1st International Conference on Game Theory for Networks, 2009

2008
Optimal Resource Allocation for Multimedia Applications over Multiaccess Fading Channels.
IEEE Trans. Wirel. Commun., 2008

Multiuser Multimedia Resource Allocation Over Multicarrier Wireless Networks.
IEEE Trans. Signal Process., 2008

A Queuing Theoretic Approach to Processor Power Adaptation for Video Decoding Systems.
IEEE Trans. Signal Process., 2008

Analytical Rate-Distortion-Complexity Modeling of Wavelet-Based Video Coders.
IEEE Trans. Signal Process., 2008

Incremental Refinement of Computation for the Discrete Wavelet Transform.
IEEE Trans. Signal Process., 2008

On the Application of Game-Theoretic Mechanism Design for Resource Allocation in Multimedia Systems.
IEEE Trans. Multim., 2008

Queuing-Based Dynamic Channel Selection for Heterogeneous Multimedia Applications Over Cognitive Radio Networks.
IEEE Trans. Multim., 2008

Stochastic Optimization for Content Sharing in P2P Systems.
IEEE Trans. Multim., 2008

A Bargaining Theoretic Approach to Quality-Fair System Resource Allocation for Multiple Decoding Tasks.
IEEE Trans. Circuits Syst. Video Technol., 2008

Compression-Aware Energy Optimization for Video Decoding Systems With Passive Power.
IEEE Trans. Circuits Syst. Video Technol., 2008

Coalition-Based Resource Reciprocation Strategies for P2P Multimedia Broadcasting.
IEEE Trans. Broadcast., 2008

A Simple Characterization of Strategic Behaviors in Broadcast Channels.
IEEE Signal Process. Lett., 2008

Resource Constrained Stream Mining With Classifier Tree Topologies.
IEEE Signal Process. Lett., 2008

Analytical Framework for Optimizing Weighted Average Download Time in Peer-to-Peer Networks
CoRR, 2008

Stackelberg Contention Games in Multi-User Networks
CoRR, 2008

Decentralized Knowledge and Learning in Strategic Multi-user Communication
CoRR, 2008

Dynamic channel selection for multi-user video streaming over cognitive radio networks.
Proceedings of the International Conference on Image Processing, 2008

Information-driven resource negotiation strategies for multimedia applications.
Proceedings of the International Conference on Image Processing, 2008

A scalable complexity specification for video applications.
Proceedings of the International Conference on Image Processing, 2008

A new theoretic framework for cross-layer optimization.
Proceedings of the International Conference on Image Processing, 2008

Resource Allocation for Multi-User Video Transmission over Multi-Carrier Networks.
Proceedings of IEEE International Conference on Communications, 2008

A New Look at Multi-User Power Control Games.
Proceedings of IEEE International Conference on Communications, 2008

Dynamic Resource Allocation of Delay Sensitive Users Using Interactive Learning over Multi-Carrier Networks.
Proceedings of IEEE International Conference on Communications, 2008

Dynamic Spectrum Sharing Using Learning for Delay-Sensitive Applications.
Proceedings of IEEE International Conference on Communications, 2008

Distributed Spectrum Allocation of Delay-Sensitive Users over Multi-User Multi-Carrier Networks.
Proceedings of the Global Communications Conference, 2008. GLOBECOM 2008, New Orleans, LA, USA, 30 November, 2008

Foresighted Resource Reciprocation Strategies in P2P Networks.
Proceedings of the Global Communications Conference, 2008. GLOBECOM 2008, New Orleans, LA, USA, 30 November, 2008

2007
Performance Analysis of Video Transmission Over IEEE 802.11a/e WLANs.
IEEE Trans. Veh. Technol., 2007

Streaming-Viability Analysis and Packet Scheduling for Video Over In-Vehicle Wireless Networks.
IEEE Trans. Veh. Technol., 2007

Bargaining Strategies for Networked Multimedia Resource Management.
IEEE Trans. Signal Process., 2007

Complexity-Constrained Video Bitstream Shaping.
IEEE Trans. Signal Process., 2007

Generalized Phase Shifting for M-Band Discrete Wavelet Packet Transforms.
IEEE Trans. Signal Process., 2007

Informationally Decentralized Video Streaming Over Multihop Wireless Networks.
IEEE Trans. Multim., 2007

Cross-Layer Packetization and Retransmission Strategies for Delay-Sensitive Wireless Multimedia Transmission.
IEEE Trans. Multim., 2007

A Queuing-Theoretic Approach to Task Scheduling and Processor Selection for Video-Decoding Applications.
IEEE Trans. Multim., 2007

Noncollaborative Resource Management for Wireless Multimedia Applications Using Mechanism Design.
IEEE Trans. Multim., 2007

Complexity Model Based Proactive Dynamic Voltage Scaling for Video Decoding Systems.
IEEE Trans. Multim., 2007

Distortion-Driven Video Streaming over Multihop Wireless Networks with Path Diversity.
IEEE Trans. Mob. Comput., 2007

Adaptive Linear Prediction for Resource Estimation of Video Decoding.
IEEE Trans. Circuits Syst. Video Technol., 2007

Rate Allocation for Noncollaborative Multiuser Speech Communication Systems Based on Bargaining Theory.
IEEE Trans. Speech Audio Process., 2007

Configuring Competing Classifier Chains in Distributed Stream Mining Systems.
J. Sel. Topics Signal Processing, 2007

A Pricing Mechanism for Resource Allocation in Wireless Multimedia Applications.
J. Sel. Topics Signal Processing, 2007

Multi-user video streaming over multi-hop wireless networks: a distributed, cross-layer approach based on priority queuing.
IEEE J. Sel. Areas Commun., 2007

Collaborative resource exchanges for peer-to-peer video streaming over wireless mesh networks.
IEEE J. Sel. Areas Commun., 2007

Mechanism-based resource allocation for multimedia transmission over spectrum agile wireless networks.
IEEE J. Sel. Areas Commun., 2007

A New Theoretic Foundation for Cross-Layer Optimization
CoRR, 2007

Learning for Dynamic Bidding in Cognitive Radio Resources
CoRR, 2007

Cross-Layer Optimized Wireless Multimedia Communications.
Adv. Multim., 2007

Graceful Quality Degradation for Video Decoding Systems Through Priority Scheduling and Processor Power Adaptation.
Proceedings of the International Conference on Image Processing, 2007

Buffer Constrained Proactive Dynamic Voltage Scaling for Video Decoding Systems.
Proceedings of the International Conference on Image Processing, 2007

Optimal Resource Allocation in Wireless Multiaccess Video Transmissions.
Proceedings of IEEE International Conference on Communications, 2007

Multi-User Multimedia Resource Management using Nash Bargaining Solution.
Proceedings of the IEEE International Conference on Acoustics, 2007

Fairness Strategies for Multi-user Multimedia Applications in Competitive Environments using the Kalai-Smorodinsky Bargaining Solution.
Proceedings of the IEEE International Conference on Acoustics, 2007

Configuring Networked Classifiers in Distributed and Resource Constrained Stream Processing Systems.
Proceedings of the IEEE International Conference on Acoustics, 2007

Analytical Complexity Modeling of Wavelet-based Video Coders.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
MPEG-4 Beyond Conventional Video Coding: Object Coding, Resilience, and Scalability
Synthesis Lectures on Image, Video, and Multimedia Processing, Morgan & Claypool Publishers, ISBN: 978-3-031-02239-5, 2006

Operational rate-distortion modeling for wavelet video coders.
IEEE Trans. Signal Process., 2006

Classification-Based System For Cross-Layer Optimized Wireless Video Transmission.
IEEE Trans. Multim., 2006

Failure-Aware, Open-Loop, Adaptive Video Streaming With Packet-Level Optimized Redundancy.
IEEE Trans. Multim., 2006

Optimized Scalable Video Streaming over IEEE 802.11a/e HCCA Wireless Networks under Delay Constraints.
IEEE Trans. Mob. Comput., 2006

3-band motion-compensated temporal structures for scalable video coding.
IEEE Trans. Image Process., 2006

Model-based joint source channel coding for subband video.
IEEE Signal Process. Lett., 2006

Cross-Layer Optimized Video Streaming Over Wireless Multihop Mesh Networks.
IEEE J. Sel. Areas Commun., 2006

A 5-band Temporal Lifting Scheme for Video Surveillance.
Proceedings of the IEEE 8th Workshop on Multimedia Signal Processing, 2006

Multi-user Video Streaming over Multi-hop Wireless Networks: A Cross-Layer Priority Queuing Scheme.
Proceedings of the Second International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2006), 2006

Game-Theoretic Paradigm for Resource Management in Spectrum Agile Wireless Networks.
Proceedings of the 2006 IEEE International Conference on Multimedia and Expo, 2006

Collaborative Resource Management for Video Over Wireless Multi-Hop Mesh Networks.
Proceedings of the International Conference on Image Processing, 2006

Cross-layer Video Streaming Over 802.11e-Enabled Wireless Mesh Networks.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Scalable Resource Management for Video Streaming Over IEEE802.11A/E.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
Cross-layer wireless multimedia transmission: challenges, principles, and new paradigms.
IEEE Wirel. Commun., 2005

Rate-distortion-complexity modeling for network and receiver aware adaptation.
IEEE Trans. Multim., 2005

Classification-based multidimensional adaptation prediction for scalable video coding using subjective quality evaluation.
IEEE Trans. Circuits Syst. Video Technol., 2005

Complexity scalable motion compensated wavelet video encoding.
IEEE Trans. Circuits Syst. Video Technol., 2005

Improved update operators for lifting-based motion-compensated temporal filtering.
IEEE Signal Process. Lett., 2005

Unconstrained motion compensated temporal filtering (UMCTF) for efficient and flexible interframe wavelet video coding.
Signal Process. Image Commun., 2005

Integrated multi-objective cross-layer optimization for wireless multimedia transmission.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

Optimized wireless video transmission using classification.
Proceedings of the 2005 IEEE International Conference on Multimedia and Expo, 2005

Enterprise multimedia streaming: issues, background and new developments.
Proceedings of the 2005 IEEE International Conference on Multimedia and Expo, 2005

Proactive Energy Optimization Algorithms for Wavelet-Based Video Codecs on Power-Aware Processors.
Proceedings of the 2005 IEEE International Conference on Multimedia and Expo, 2005

Cross-layer aware packetization strategies for optimized wireless multimedia transmission.
Proceedings of the 2005 International Conference on Image Processing, 2005

New fairness paradigms for wireless multimedia communication.
Proceedings of the 2005 International Conference on Image Processing, 2005

Compact dependent key generation methods for encryption-based subscription differentiation for scalable bit-streams.
Proceedings of the 2005 International Conference on Image Processing, 2005

Integrated application MAC modeling for cross-layer optimized wireless video.
Proceedings of IEEE International Conference on Communications, 2005

Rate-Distortion Modeling for Wavelet Video Coders.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Optimal Upload Policies for P2P Networks with System Imposed Constraints.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Cross-layer resource allocation for delay constrained wireless video transmission.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Complexity metric driven energy optimization framework for implementing MPEG-21 scalable video decoders.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Combined data partitioning and fine granularity scalability for channel adaptive video transmission.
Proceedings of the Electronic Imaging: Image and Video Communications and Processing 2005, 2005

Generic modeling of complexity for motion-compensated wavelet video decoders.
Proceedings of the Electronic Imaging: Image and Video Communications and Processing 2005, 2005

A layered complexity-aware scalable video encryption scheme.
Proceedings of the Electronic Imaging: Image and Video Communications and Processing 2005, 2005

2004
Providing adaptive QoS to layered video over wireless local area networks through real-time retry limit adaptation.
IEEE Trans. Multim., 2004

Interframe wavelet coding - motion picture representation for universal scalability.
Signal Process. Image Commun., 2004

In-band motion compensated temporal filtering.
Signal Process. Image Commun., 2004

Editorial.
EURASIP J. Adv. Signal Process., 2004

Scalable Video Transcaling for the Wireless Internet.
EURASIP J. Adv. Signal Process., 2004

Predicting optimal operation of MC-3DSBC multidimensional scalable video coding using subjective quality measurement.
Proceedings of the Visual Communications and Image Processing 2004, 2004

Reduced complexity genetic algorithm for motion estimation.
Proceedings of the Visual Communications and Image Processing 2004, 2004

Arithmetic coding with adaptive context-tree weighting for the H.264 video coders.
Proceedings of the Visual Communications and Image Processing 2004, 2004

Adaptive modulated scalable video transmission over wireless networks with a game theoretic approach.
Proceedings of the IEEE 6th Workshop on Multimedia Signal Processing, 2004

Weighted average spatio-temporal update operator for subband video coding.
Proceedings of the 2004 International Conference on Image Processing, 2004

Joint data compression and error protection for collaborative transmission.
Proceedings of the 2004 International Conference on Image Processing, 2004

Rate-distortion-complexity adaptive video compression and streaming.
Proceedings of the 2004 International Conference on Image Processing, 2004

Fine-granular-scalability video streaming over wireless LANs using cross layer error control.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Highly scalable video coding by bidirectional predict-update 3-band schemes.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Error protection of video over wireless local area networks through real-time retry limit adaptation.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Real-time ubiquitous multimedia streaming using rate-distortion-complexity models.
Proceedings of the Global Telecommunications Conference, 2004. GLOBECOM '04, Dallas, Texas, USA, 29 November, 2004

Multiple descriptions scalable video coding.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

Scalable motion vector coding for MC-EZBC.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003
Adaptive cross-layer protection strategies for robust scalable video transmission over 802.11 WLANs.
IEEE J. Sel. Areas Commun., 2003

Fully scalable 3D overcomplete wavelet video coding using adaptive motion compensated temporal filtering.
Proceedings of the Visual Communications and Image Processing 2003, 2003

Adaptive overcomplete wavelet video coding with spatial transcaling.
Proceedings of the Visual Communications and Image Processing 2003, 2003

Complete-to-overcomplete discrete wavelet transforms for scalable video coding with MCTF.
Proceedings of the Visual Communications and Image Processing 2003, 2003

Adaptive error control for fine-granular-scalability video coding over IEEE 802.11 wireless LANs.
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

Reduced complexity spatio-temporal scalable motion compensated wavelet video encoding.
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

Temporal prediction and differential coding of motion vectors in the MCTF framework.
Proceedings of the 2003 International Conference on Image Processing, 2003

Multiple description scalable coding using wavelet-based motion compensated temporal filtering.
Proceedings of the 2003 International Conference on Image Processing, 2003

Control of the distortion variation in video coding systems based on motion compensated temporal filtering.
Proceedings of the 2003 International Conference on Image Processing, 2003

Spatio-temporal-SNR scalable wavelet coding with motion-compensated DCT base-layer architectures.
Proceedings of the 2003 International Conference on Image Processing, 2003

Content-adaptive filtering in the UMCTF framework.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Unconstrained motion compensated temporal filtering (UMCTF) framework for wavelet video coding.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Fully-scalable wavelet video coding using in-band motion compensated temporal filtering.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
Adaptive motion-compensation fine-granular-scalability (AMC-FGS) for wireless video.
IEEE Trans. Circuits Syst. Video Technol., 2002

Fine-granularity-scalability for wireless video and scalable storage.
Proceedings of the Visual Communications and Image Processing 2002, 2002

Adaptive frequency weighting for fine-granularity-scalability.
Proceedings of the Visual Communications and Image Processing 2002, 2002

FGS+: optimizing the joint SNR-temporal video quality in MPEG-4 fine grained scalable coding.
Proceedings of the 2002 International Symposium on Circuits and Systems, 2002

Resource-driven MPEG-4 FGS for universal multimedia access.
Proceedings of the 2002 IEEE International Conference on Multimedia and Expo, 2002

Robust transmission of MPEG-4 scalable video over 4G wireless networks.
Proceedings of the 2002 International Conference on Image Processing, 2002

Scene-dependent frequency weighting for subjective quality improvement of MPEG-4 fine-granularity-scalability.
Proceedings of the 2002 International Conference on Image Processing, 2002

2001
Unequal packet loss resilience for fine-granular-scalability video.
IEEE Trans. Multim., 2001

The MPEG-4 fine-grained scalable video coding method for multimedia streaming over IP.
IEEE Trans. Multim., 2001

A hybrid temporal-SNR fine-granular scalability for Internet video.
IEEE Trans. Circuits Syst. Video Technol., 2001

Fine-grained loss protection for robust Internet video streaming.
Proceedings of the Visual Communications and Image Processing 2001, 2001

Motion-compensation fine-granular-scalability (MC-FGS) for wireless multimedia.
Proceedings of the Fourth IEEE Workshop on Multimedia Signal Processing, 2001

Content-based selective enhancement for streaming video.
Proceedings of the 2001 International Conference on Image Processing, 2001

Temporal-SNR rate-control for Fine-Granular Scalability.
Proceedings of the 2001 International Conference on Image Processing, 2001

2000
Near-lossless complexity-scalable embedded compression algorithm for cost reduction in DTV receivers.
IEEE Trans. Consumer Electron., 2000

Hybrid compression of video with graphics in DTV communication systems.
IEEE Trans. Consumer Electron., 2000

Scalable MPEG-4 Video Coding with Graceful Packet-Loss Resilience over Bandwidth-Varying Networks.
Proceedings of the 2000 IEEE International Conference on Multimedia and Expo, 2000

A Novel MPEG-4 Based Hybrid Temporal-SNR Scalability for Internet Video.
Proceedings of the 2000 International Conference on Image Processing, 2000

Packet-Loss Resilient Internet Video Using MPEG-4 Fine Granular Scalability.
Proceedings of the 2000 International Conference on Image Processing, 2000


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