Santu Rana

Artif. Intell., December, 2023

Sample-Efficient Co-Design of Robotic Agents Using Multi-fidelity Training on Universal Policy Network.

[BibT_eX]

[DOI]

Kishan R. Nagiredla

Arun Kumar A. V.

CoRR, 2023

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

[BibT_eX]

[DOI]

Thommen Karimpanal George

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

LearnDefend: Learning to Defend against Targeted Model-Poisoning Attacks on Federated Learning.

[BibT_eX]

[DOI]

Kiran Purohit

Soumi Das

Sourangshu Bhattacharya

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Zero-shot Sim2Real Adaptation Across Environments.

[BibT_eX]

[DOI]

CoRR, 2023

Gradient Descent in Neural Networks as Sequential Learning in RKBS.

[BibT_eX]

[DOI]

CoRR, 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

Controlled Diversity with Preference : Towards Learning a Diverse Set of Desired Skills.

[BibT_eX]

[DOI]

Maxence Hussonnois

Deepthi Praveenlal Kuttichira

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

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

Real-Time Skill Discovery in Intelligent Virtual Assistants.

[BibT_eX]

[DOI]

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

Human-AI Collaborative Bayesian Optimisation.

[BibT_eX]

[DOI]

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

Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation.

[BibT_eX]

[DOI]

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

Intuitive Physics Guided Exploration for Sample Efficient Sim2real Transfer.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

Uncertainty Aware System Identification with Universal Policies.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Fast Model-based Policy Search for Universal Policy Networks.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on Pattern Recognition, 2022

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

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Towards Effective and Robust Neural Trojan Defenses via Input Filtering.

[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

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

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

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

Targeted Universal Adversarial Perturbations for Automatic Speech Recognition.

[BibT_eX]

[DOI]

Proceedings of the Information Security - 24th International Conference, 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

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

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

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

Hierarchical Bayesian nonparametric models for knowledge discovery from electronic medical records.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2016

Data clustering using side information dependent Chinese restaurant processes.

[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

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]

Sunil Kumar Gupta

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

Multiple adverse effects prediction in longitudinal cancer treatment.

[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

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

Small-Variance Asymptotics for Bayesian Nonparametric Models with Constraints.

[BibT_eX]

[DOI]

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]

Sunil Kumar Gupta

Proceedings of the 2015 IEEE International Conference on Data Mining, 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

Intervention-Driven Predictive Framework for Modeling Healthcare Data.

[BibT_eX]

[DOI]

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

Regularizing Topic Discovery in EMRs with Side Information by Using Hierarchical Bayesian Models.

[BibT_eX]

[DOI]

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

2013

Split-Merge Augmented Gibbs Sampling for Hierarchical Dirichlet Processes.

[BibT_eX]

[DOI]

Dinh Q. Phung