Sanath Kumar Krishnamurthy

22 papers A* 5A 4Journal 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Exploration for Latent-State Bandits. CoRR Jikai Jin, Kenneth Hung, Sanath Kumar Krishnamurthy, Baoyi Shi, Congshan Zhang
2026	J	`jnl`	Robust Post-Training for Generative Recommenders: Why Exponential Reward-Weighted SFT Outperforms RLHF. CoRR Keertana Chidambaram, Sanath Kumar Krishnamurthy, Qiuling Xu, Ko-Jen Hsiao, Moumita Bhattacharya
2025	A*	`conf`	Selective Uncertainty Propagation in Offline RL. AAAI Sanath Kumar Krishnamurthy, Tanmay Gangwani, Sumeet Katariya, Branislav Kveton, Shrey Modi, Anshuka Rangi
2024	J	`jnl`	Data-driven Error Estimation: Upper Bounding Multiple Errors with No Technical Debt. CoRR Sanath Kumar Krishnamurthy, Susan Athey, Emma Brunskill
2024	A	`conf`	Towards Costless Model Selection in Contextual Bandits: A Bias-Variance Perspective. AISTATS Sanath Kumar Krishnamurthy, Adrienne Margaret Propp, Susan Athey
2023	A	`conf`	Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles. AISTATS Aldo Gael Carranza, Sanath Kumar Krishnamurthy, Susan Athey
2023	A*	`conf`	Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization. NeurIPS Sanath Kumar Krishnamurthy, Ruohan Zhan, Susan Athey, Emma Brunskill
2023	J	`jnl`	Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization. CoRR Sanath Kumar Krishnamurthy, Ruohan Zhan, Susan Athey, Emma Brunskill
2023	J	`jnl`	Selective Uncertainty Propagation in Offline RL. CoRR Sanath Kumar Krishnamurthy, Tanmay Gangwani, Sumeet Katariya, Branislav Kveton, Anshuka Rangi
2022	J	`jnl`	Contextual Bandits in a Survey Experiment on Charitable Giving: Within-Experiment Outcomes versus Policy Learning. CoRR Susan Athey, Undral Byambadalai, Vitor Hadad, Sanath Kumar Krishnamurthy, Weiwen Leung, Joseph Jay Williams
2022	J	`jnl`	Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracle. CoRR Aldo Gael Carranza, Sanath Kumar Krishnamurthy, Susan Athey
2021	A*	`conf`	Adapting to misspecification in contextual bandits with offline regression oracles. ICML Sanath Kumar Krishnamurthy, Vitor Hadad, Susan Athey
2021	J	`jnl`	Adapting to misspecification in contextual bandits with offline regression oracles. CoRR Sanath Kumar Krishnamurthy, Vitor Hadad, Susan Athey
2021	J	`jnl`	Optimal Model Selection in Contextual Bandits with Many Classes via Offline Oracles. CoRR Sanath Kumar Krishnamurthy, Susan Athey
2021	A	`conf`	Tractable contextual bandits beyond realizability. AISTATS Sanath Kumar Krishnamurthy, Vitor Hadad, Susan Athey
2020	J	`jnl`	Approximation Algorithms for Maximin Fair Division. ACM Trans. Economics and Comput. Siddharth Barman, Sanath Kumar Krishnamurthy
2020	J	`jnl`	Survey Bandits with Regret Guarantees. CoRR Sanath Kumar Krishnamurthy, Susan Athey
2020	J	`jnl`	Tractable contextual bandits beyond realizability. CoRR Sanath Kumar Krishnamurthy, Vitor Hadad, Susan Athey
2019	A*	`conf`	On the Proximity of Markets with Integral Equilibria. AAAI Siddharth Barman, Sanath Kumar Krishnamurthy
2018	A*	`conf`	Finding Fair and Efficient Allocations. EC Siddharth Barman, Sanath Kumar Krishnamurthy, Rohit Vaish
2018	A	`conf`	Greedy Algorithms for Maximizing Nash Social Welfare. AAMAS Siddharth Barman, Sanath Kumar Krishnamurthy, Rohit Vaish
2018	J	`jnl`	On the Proximity of Markets with Integral Equilibria. CoRR Siddharth Barman, Sanath Kumar Krishnamurthy