Karthikeyan Shanmugam

CoRR, August, 2025

Regret minimization in Linear Bandits with offline data via extended D-optimal exploration.

[BibT_eX]

[DOI]

Sushant Vijayan

Soumyabrata Pal

CoRR, August, 2025

Learning to Call: A Field Trial of a Collaborative Bandit Algorithm for Improved Message Delivery in Mobile Maternal Health.

[BibT_eX]

[DOI]

CoRR, July, 2025

Robust Reward Modeling via Causal Rubrics.

[BibT_eX]

[DOI]

Rengarajan Aravamudhan

Soumya Sharma

Anirban Laha

Doina Precup

CoRR, June, 2025

Path-specific effects for pulse-oximetry guided decisions in critical care.

[BibT_eX]

[DOI]

Kevin Zhang

Yonghan Jung

Divyat Mahajan

Shalmali Joshi

CoRR, June, 2025

Preference-centric Bandits: Optimality of Mixtures and Regret-efficient Algorithms.

[BibT_eX]

[DOI]

Meltem Tatli

Arpan Mukherjee

Prashanth L. A.

Ali Tajer

CoRR, April, 2025

Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects.

[BibT_eX]

[DOI]

Praharsh Nanavati

Ranjitha Prasad

CoRR, April, 2025

Combinatorial Multi-armed Bandits: Arm Selection via Group Testing.

[BibT_eX]

[DOI]

Arpan Mukherjee

Shashanka Ubaru

Keerthiram Murugesan

Ali Tajer

Trans. Mach. Learn. Res., 2025

Bayesian Collaborative Bandits with Thompson Sampling for Improved Outreach in Maternal Health.

[BibT_eX]

[DOI]

Arpan Dasgupta

Gagan Jain

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Risk-sensitive Bandits: Arm Mixture Optimality and Regret-efficient Algorithms.

[BibT_eX]

[DOI]

Meltem Tatli

Arpan Mukherjee

Prashanth L. A.

Ali Tajer

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Attribute Graphs Underlying Molecular Generative Models: Path to Learning with Limited Data.

[BibT_eX]

[DOI]

Samuel C. Hoffman

Payel Das

Kahini Wadhawan

Prasanna Sattigeri

Trans. Mach. Learn. Res., 2024

Bayesian Collaborative Bandits with Thompson Sampling for Improved Outreach in Maternal Health Program.

[BibT_eX]

[DOI]

Arpan Dasgupta

Gagan Jain

CoRR, 2024

Learning model uncertainty as variance-minimizing instance weights.

[BibT_eX]

[DOI]

Nishant Jain

Pradeep Shenoy

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation.

[BibT_eX]

[DOI]

Shreyas Havaldar

Navodita Sharma

Shubhi Sareen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Improving Mobile Maternal and Child Health Care Programs: Collaborative Bandits for Time Slot Selection.

[BibT_eX]

[DOI]

Soumyabrata Pal

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples.

[BibT_eX]

[DOI]

Shreyas Havaldar

Jatin Chauhan

Jay Nandy

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

2023

Improving Fairness-Accuracy tradeoff with few Test Samples under Covariate Shift.

[BibT_eX]

[DOI]

Shreyas Havaldar

Jatin Chauhan

Jay Nandy

CoRR, 2023

Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge.

[BibT_eX]

[DOI]

Abhin Shah

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Causal Graphs Underlying Generative Models: Path to Learning with Limited Data.

[BibT_eX]

[DOI]

CoRR, 2022

Fourier Representations for Black-Box Optimization over Categorical Variables.

[BibT_eX]

[DOI]

Hamid Dadkhahi

Jesus Rios

Payel Das

CoRR, 2022

2021

Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge.

[BibT_eX]

[DOI]

Abhin Shah

Kartik Ahuja

CoRR, 2021

2018

Mimic and Classify : A meta-algorithm for Conditional Independence Testing.

[BibT_eX]

[DOI]

Himanshu Asnani

Arman Rahimzamani

Sreeram Kannan

CoRR, 2018

Contextual Bandits with Stochastic Experts.

[BibT_eX]

[DOI]

Sanjay Shakkottai

CoRR, 2018

From Centralized to Decentralized Coded Caching.

[BibT_eX]

[DOI]

Yitao Chen

CoRR, 2018

2017

Coded Caching with Linear Subpacketization is Possible using Ruzsa-Szeméredi Graphs.

[BibT_eX]

[DOI]

Antonia M. Tulino

CoRR, 2017

Sparse Quadratic Logistic Regression in Sub-quadratic Time.

[BibT_eX]

[DOI]

Sujay Sanghavi

CoRR, 2017

Causal Best Intervention Identification via Importance Sampling.

[BibT_eX]

[DOI]

Sanjay Shakkottai

CoRR, 2017

2016

Latent Contextual Bandits: A Non-Negative Matrix Factorization Approach.

[BibT_eX]

[DOI]

Sanjay Shakkottai

CoRR, 2016

2015

Learning Causal Graphs with Small Interventions.

[BibT_eX]

[DOI]

Sriram Vishwanath

CoRR, 2015

Finite Length Analysis of Caching-Aided Coded Multicasting.

[BibT_eX]

[DOI]

Mingyue Ji

Antonia M. Tulino

Jaime Llorca

CoRR, 2015

On Approximating the Sum-Rate for Multiple-Unicasts.

[BibT_eX]

[DOI]

Megasthenis Asteris

CoRR, 2015

2014

Graph Theory versus Minimum Rank for Index Coding.

[BibT_eX]

[DOI]

Michael Langberg

CoRR, 2014

Bounding Multiple Unicasts through Index Coding and Locally Repairable Codes.

[BibT_eX]

[DOI]

CoRR, 2014

2013

Local Graph Coloring and Index Coding

[BibT_eX]

[DOI]

Michael Langberg

CoRR, 2013

2011

An Approach for Validation of Digital Anti-Forensic Evidence.

[BibT_eX]

[DOI]

Roger S. Powell

Tom Owens

Inf. Secur. J. A Glob. Perspect., 2011

2005

Real Time Vision-based Control of a Carrom Playing Robot.

[BibT_eX]

Guruprasad Somasundaram

Karthik Krishnakumar