Sanath Kumar Krishna Murthy

According to our database, Sanath Kumar Krishna Murthy authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Data-driven Error Estimation: Upper Bounding Multiple Errors with No Technical Debt.

Sanath Kumar Krishnamurthy, Susan Athey, Emma Brunskill

CoRR, 2024

Towards Costless Model Selection in Contextual Bandits: A Bias-Variance Perspective.

Sanath Kumar Krishnamurthy, Adrienne M. Propp, Susan Athey

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Selective Uncertainty Propagation in Offline RL.

Sanath Kumar Krishnamurthy, Tanmay Gangwani, Sumeet Katariya, Branislav Kveton, Anshuka Rangi

CoRR, 2023

Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization.

Sanath Kumar Krishnamurthy, Ruohan Zhan, Susan Athey, Emma Brunskill

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

Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles.

Aldo Gael Carranza, Sanath Kumar Krishnamurthy, Susan Athey

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Contextual Bandits in a Survey Experiment on Charitable Giving: Within-Experiment Outcomes versus Policy Learning.

Susan Athey, Undral Byambadalai, Vitor Hadad, Sanath Kumar Krishnamurthy, Weiwen Leung, Joseph Jay Williams

CoRR, 2022

Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracle.

Aldo Gael Carranza, Sanath Kumar Krishnamurthy, Susan Athey

CoRR, 2022

2021

Optimal Model Selection in Contextual Bandits with Many Classes via Offline Oracles.

Sanath Kumar Krishnamurthy, Susan Athey

CoRR, 2021

Adapting to misspecification in contextual bandits with offline regression oracles.

Sanath Kumar Krishnamurthy, Vitor Hadad, Susan Athey

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

Tractable contextual bandits beyond realizability.

Sanath Kumar Krishnamurthy, Vitor Hadad, Susan Athey

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Approximation Algorithms for Maximin Fair Division.

Siddharth Barman, Sanath Kumar Krishnamurthy

ACM Trans. Economics and Comput., 2020

Survey Bandits with Regret Guarantees.

Sanath Kumar Krishnamurthy, Susan Athey

CoRR, 2020

2019

On the Proximity of Markets with Integral Equilibria.

Siddharth Barman, Sanath Kumar Krishnamurthy

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

2018

Finding Fair and Efficient Allocations.

Siddharth Barman, Sanath Kumar Krishnamurthy, Rohit Vaish

Proceedings of the 2018 ACM Conference on Economics and Computation, 2018

Greedy Algorithms for Maximizing Nash Social Welfare.

Siddharth Barman, Sanath Kumar Krishnamurthy, Rohit Vaish

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Groupwise Maximin Fair Allocation of Indivisible Goods.

Siddharth Barman, Arpita Biswas, Sanath Kumar Krishna Murthy, Yadati Narahari

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018