Sunil Gupta

CoRR, 2024

PINN-BO: A Black-box Optimization Algorithm using Physics-Informed Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Learn to Unlearn for Deep Neural Networks: Minimizing Unlearning Interference with Gradient Projection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Root Cause Explanation of Outliers under Noisy Mechanisms.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Balanced Q-learning: Combining the influence of optimistic and pessimistic targets.

[BibT_eX]

[DOI]

Artif. Intell., December, 2023

NeuralBO: A black-box optimization algorithm using deep neural networks.

[BibT_eX]

[DOI]

Dat Phan-Trong

Hung Tran-The

Neurocomputing, November, 2023

Unified Multi-Weather Visibility Restoration.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

LaGR-SEQ: Language-Guided Reinforcement Learning with Sample-Efficient Querying.

[BibT_eX]

[DOI]

Thommen Karimpanal George

Buddhika Laknath Semage

CoRR, 2023

Predictive Modeling through Hyper-Bayesian Optimization.

[BibT_eX]

[DOI]

CoRR, 2023

EMOTE: An Explainable architecture for Modelling the Other Through Empathy.

[BibT_eX]

[DOI]

Manisha Senadeera

Stephan Jacobs

CoRR, 2023

BO-Muse: A human expert and AI teaming framework for accelerated experimental design.

[BibT_eX]

[DOI]

CoRR, 2023

Neural-BO: A Black-box Optimization Algorithm using Deep Neural Networks.

[BibT_eX]

[DOI]

Dat Phan-Trong

Hung Tran-The

CoRR, 2023

Gradient Descent in Neural Networks as Sequential Learning in RKBS.

[BibT_eX]

[DOI]

CoRR, 2023

Guiding Visual Question Answering with Attention Priors.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Continual Learning with Dependency Preserving Hypernetworks.

[BibT_eX]

[DOI]

Dupati Srikar Chandra

Sakshi Varshney

P. K. Srijith

Deepthi Praveenlal Kuttichira

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach Space.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Multi-weather Image Restoration via Domain Translation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

On Sample Complexity of Offline Reinforcement Learning with Deep ReLU Networks in Besov Spaces.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

Dual-frame spatio-temporal feature modulation for video enhancement.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Verification of integrity of deployed deep learning models using Bayesian Optimization.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Prescriptive analytics with differential privacy.

[BibT_eX]

[DOI]

Int. J. Data Sci. Anal., 2022

Defense Against Multi-target Trojan Attacks.

[BibT_eX]

[DOI]

CoRR, 2022

Memory-Constrained Policy Optimization.

[BibT_eX]

[DOI]

Hung Le

Thommen Karimpanal George

CoRR, 2022

Real-Time Skill Discovery in Intelligent Virtual Assistants.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Expected Improvement for Contextual Bandits.

[BibT_eX]

[DOI]

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

Learning to Constrain Policy Optimization with Virtual Trust Region.

[BibT_eX]

[DOI]

Thai Hung Le

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

Semantic Control of Generative Musical Attributes.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Video Restoration Framework and Its Meta-adaptations to Data-Poor Conditions.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Black-Box Few-Shot Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Sympathy-based Reinforcement Learning Agents.

[BibT_eX]

[DOI]

Manisha Senadeera

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

TRF: Learning Kernels with Tuned Random Features.

[BibT_eX]

[DOI]

Alistair Shilton

Arun Kumar Anjanapura Venkatesh

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

An Unified Recurrent Video Object Segmentation Framework for Various Surveillance Environments.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Adaptive cost-aware Bayesian optimization.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Fairness improvement for black-box classifiers with Gaussian process.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Semantic Host-free Trojan Attack.

[BibT_eX]

[DOI]

CoRR, 2021

A Field Guide to Scientific XAI: Transparent and Interpretable Deep Learning for Bioinformatics Research.

[BibT_eX]

[DOI]

CoRR, 2021

Plug and Play, Model-Based Reinforcement Learning.

[BibT_eX]

[DOI]

Majid Abdolshah

Hung Le

Arun Kumar Anjanapura Venkatesh

CoRR, 2021

Combining Online Learning and Offline Learning for Contextual Bandits with Deficient Support.

[BibT_eX]

[DOI]

CoRR, 2021

ALT-MAS: A Data-Efficient Framework for Active Testing of Machine Learning Algorithms.

[BibT_eX]

[DOI]

CoRR, 2021

On Finite-Sample Analysis of Offline Reinforcement Learning with Deep ReLU Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Personalized single-cell networks: a framework to predict the response of any gene to any drug for any patient.

[BibT_eX]

[DOI]

BioData Min., 2021

Fast Conditional Network Compression Using Bayesian HyperNetworks.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Variational Hyper-encoding Networks.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Knowledge Distillation with Distribution Mismatch.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Sparse Spectrum Gaussian Process for Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Kernel Functional Optimisation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Bayesian Optimistic Optimisation with Exponentially Decaying Regret.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

A New Representation of Successor Features for Transfer across Dissimilar Environments.

[BibT_eX]

[DOI]

Majid Abdolshah

Hung Le

Proceedings of the 38th International Conference on Machine Learning, 2021

Distributional Reinforcement Learning via Moment Matching.

[BibT_eX]

[DOI]

Thanh Nguyen-Tang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

High Dimensional Level Set Estimation with Bayesian Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Bayesian strategy selection identifies optimal solutions to complex problems using an example from GP prescribing.

[BibT_eX]

[DOI]

npj Digit. Medicine, 2020

Incorporating expert prior in Bayesian optimisation via space warping.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Fast hyperparameter tuning using Bayesian optimization with directional derivatives.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Batch Bayesian optimization using multi-scale search.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Bayesian optimisation in unknown bounded search domains.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Logically Consistent Loss for Visual Question Answering.

[BibT_eX]

[DOI]

CoRR, 2020

Sequential Subspace Search for Functional Bayesian Optimization Incorporating Experimenter Intuition.

[BibT_eX]

[DOI]

CoRR, 2020

Distributional Reinforcement Learning with Maximum Mean Discrepancy.

[BibT_eX]

[DOI]

Thanh Tang Nguyen

CoRR, 2020

HyperVAE: A Minimum Description Length Variational Hyper-Encoding Network.

[BibT_eX]

[DOI]

CoRR, 2020

Incorporating Expert Prior Knowledge into Experimental Design via Posterior Sampling.

[BibT_eX]

[DOI]

CoRR, 2020

Bayesian Optimization for Adaptive Experimental Design: A Review.

[BibT_eX]

[DOI]

IEEE Access, 2020

Unsupervised Anomaly Detection on Temporal Multiway Data.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Bayesian Optimization with Missing Inputs.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Scalable Backdoor Detection in Neural Networks.

[BibT_eX]

[DOI]

Haripriya Harikumar

Vuong Le

Sourangshu Bhattacharya

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Level Set Estimation with Search Space Warping.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning.

[BibT_eX]

[DOI]

Deepthi Praveenlal Kuttichira

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Factor Screening using Bayesian Active Learning and Gaussian Process Meta-Modelling.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

DeepCoDA: personalized interpretability for compositional health data.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Accelerated Bayesian Optimisation through Weight-Prior Tuning.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Distributionally Robust Bayesian Quadrature Optimization.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Bayesian Optimization for Categorical and Category-Specific Continuous Inputs.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Filtering Bayesian optimization approach in weakly specified search space.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2019

A flexible transfer learning framework for Bayesian optimization with convergence guarantee.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2019

Cost-aware Multi-objective Bayesian optimisation.

[BibT_eX]

[DOI]

CoRR, 2019

Sparse Spectrum Gaussian Process for Bayesian Optimisation.

[BibT_eX]

[DOI]

CoRR, 2019

Stable Bayesian Optimisation via Direct Stability Quantification.

[BibT_eX]

[DOI]

CoRR, 2019

Incomplete Conditional Density Estimation for Fast Materials Discovery.

[BibT_eX]

[DOI]

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Explaining Black-Box Models Using Interpretable Surrogates.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Bayesian Optimization with Unknown Search Space.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Multi-objective Bayesian optimisation with preferences over objectives.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Efficient Bayesian Optimization for Uncertainty Reduction Over Perceived Optima Locations.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Information-Theoretic Multi-task Learning Framework for Bayesian Optimisation.

[BibT_eX]

[DOI]

Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

Bayesian Optimization with Discrete Variables.

[BibT_eX]

[DOI]

Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

Detection of Compromised Models Using Bayesian Optimization.

[BibT_eX]

[DOI]

Deepthi Praveenlal Kuttichira

Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

Bayesian Optimisation for Objective Functions with Varying Smoothness.

[BibT_eX]

[DOI]

Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

Bayesian Functional Optimisation with Shape Prior.

[BibT_eX]

[DOI]

Pratibha Vellanki

David Rubin de Celis Leal

Alessandra Sutti

Murray Height

David Rubin de Celis Leal

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Stable Bayesian optimization.

[BibT_eX]

[DOI]

Int. J. Data Sci. Anal., 2018

Hybrid Generative-Discriminative Models for Inverse Materials Design.

[BibT_eX]

[DOI]

CoRR, 2018

Practical Batch Bayesian Optimization for Less Expensive Functions.

[BibT_eX]

[DOI]

CoRR, 2018

Kernel Pre-Training in Feature Space via m-Kernels.

[BibT_eX]

[DOI]

CoRR, 2018

Multi-Target Optimisation via Bayesian Optimisation and Linear Programming.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Efficient Bayesian Optimisation Using Derivative Meta-model.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Selecting Optimal Source for Transfer Learning in Bayesian Optimisation.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Information-Theoretic Transfer Learning Framework for Bayesian Optimisation.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Exploration Enhanced Expected Improvement for Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

A Privacy Preserving Bayesian Optimization with High Efficiency.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Prescriptive Analytics Through Constrained Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation.

[BibT_eX]

[DOI]

Shivapratap Gopakumar

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Expected Hypervolume Improvement with Constraints.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Differentially Private Prescriptive Analytics.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

Accelerating Experimental Design by Incorporating Experimenter Hunches.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

Sparse Approximation for Gaussian Process with Derivative Observations.

[BibT_eX]

[DOI]

Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Exploiting Strategy-Space Diversity for Batch Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

A Framework for Mixed-Type Multioutcome Prediction With Applications in Healthcare.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2017

Nonparametric discovery and analysis of learning patterns and autism subgroups from therapeutic data.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2017

Effective sparse imputation of patient conditions in electronic medical records for emergency risk predictions.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2017

Low overhead octet indexed template security scheme for multi-modal biometric system.

[BibT_eX]

[DOI]

Arvind Selwal

Surender Kumar

J. Intell. Fuzzy Syst., 2017

Budgeted Batch Bayesian Optimization With Unknown Batch Sizes.

[BibT_eX]

[DOI]

CoRR, 2017

Process-constrained batch Bayesian optimisation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

High Dimensional Bayesian Optimization using Dropout.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

High Dimensional Bayesian Optimization with Elastic Gaussian Process.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Bayesian Optimization in Weakly Specified Search Space.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Regret Bounds for Transfer Learning in Bayesian Optimisation.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Regret for Expected Improvement over the Best-Observed Value and Stopping Condition.

[BibT_eX]

[DOI]

Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016

Nonparametric discovery of movement patterns from accelerometer signals.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2016

Modelling multilevel data in multimedia: A hierarchical factor analysis approach.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2016

Multiple task transfer learning with small sample sizes.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2016

A new transfer learning framework with application to model-agnostic multi-task learning.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2016

Stabilizing l<sub>1</sub>-norm prediction models by supervised feature grouping.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2016

Privacy Aware K-Means Clustering with High Utility.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Toxicity Prediction in Cancer Using Multiple Instance Learning in a Multi-task Framework.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Flexible Transfer Learning Framework for Bayesian Optimisation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Differentially Private Multi-task Learning.

[BibT_eX]

[DOI]

Proceedings of the Intelligence and Security Informatics - 11th Pacific Asia Workshop, 2016

Bayesian nonparametric Multiple Instance Regression.

[BibT_eX]

[DOI]

Saravanan Subramanian

Palaniappan Bagavathi Sivakumar

C. Shunmuga Velayutham

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Transfer learning for rare cancer problems via Discriminative Sparse Gaussian Graphical model.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Multiple adverse effects prediction in longitudinal cancer treatment.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Stable clinical prediction using graph support vector machines.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Hyperparameter tuning for big data using Bayesian optimisation.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Budgeted Batch Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Cascade Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016

Extracting Key Challenges in Achieving Sobriety Through Shared Subspace Learning.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

Understanding Behavioral Differences Between Short and Long-Term Drinking Abstainers from Social Media.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

A Bayesian Nonparametric Approach for Multi-label Classification.

[BibT_eX]

[DOI]

Proceedings of The 8th Asian Conference on Machine Learning, 2016

2015

A predictive framework for modeling healthcare data with evolving clinical interventions.

[BibT_eX]

[DOI]

Stat. Anal. Data Min., 2015

Stable feature selection for clinical prediction: Exploiting ICD tree structure using Tree-Lasso.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2015

What shall I share and with Whom? - A Multi-Task Learning Formulation using Multi-Faceted Task Relationships.

[BibT_eX]

[DOI]

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Prediciton of Emergency Events: A Multi-Task Multi-Label Learning Approach.

[BibT_eX]

[DOI]

Budhaditya Saha

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Collaborating Differently on Different Topics: A Multi-Relational Approach to Multi-Task Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Differentially Private Random Forest with High Utility.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Improved risk predictions via sparse imputation of patient conditions in electronic medical records.

[BibT_eX]

[DOI]

Budhaditya Saha

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Exploiting feature relationships towards stable feature selection.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Stable Feature Selection with Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015

2014

A framework for feature extraction from hospital medical data with applications in risk prediction.

[BibT_eX]

[DOI]

BMC Bioinform., 2014

Keeping up with Innovation: A Predictive Framework for Modeling Healthcare Data with Evolving Clinical Interventions.

[BibT_eX]

[DOI]

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Fixed-lag particle filter for continuous context discovery using Indian Buffet Process.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2014

Intervention-Driven Predictive Framework for Modeling Healthcare Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

A Bayesian Nonparametric Framework for Activity Recognition Using Accelerometer Data.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

Connectivity, Online Social Capital, and Mood: A Bayesian Nonparametric Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2013

Regularized nonnegative shared subspace learning.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2013

Extraction of latent patterns and contexts from social honest signals using hierarchical Dirichlet processes.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Conference on Pervasive Computing and Communications, 2013

Interactive browsing system for anomaly video surveillance.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Eighth International Conference on Intelligent Sensors, 2013

Factorial Multi-Task Learning : A Bayesian Nonparametric Approach.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

A Slice Sampler for Restricted Hierarchical Beta Process with Applications to Shared Subspace Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

A Bayesian Nonparametric Joint Factor Model for Learning Shared and Individual Subspaces from Multiple Data Sources.

[BibT_eX]

[DOI]

Dinh Quoc Phung

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

A nonparametric Bayesian Poisson gamma model for count data.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011

A Bayesian Framework for Learning Shared and Individual Subspaces from Multiple Data Sources.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

2010

Nonnegative shared subspace learning and its application to social media retrieval.

[BibT_eX]

[DOI]

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2008

Learning Feature Trajectories Using Gabor Filter Bank for Human Activity Segmentation and Recognition.

[BibT_eX]

[DOI]