Sanath Kumar Krishnamurthy

Sanath Kumar Krishnamurthy

Stanford University

H-index: 8

North America-United States

About Sanath Kumar Krishnamurthy

Sanath Kumar Krishnamurthy, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Algorithms, Causal Inference, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Proportional response: Contextual bandits for simple and cumulative regret minimization

Flexible and efficient contextual bandits with heterogeneous treatment effect oracles

Selective Uncertainty Propagation in Offline RL

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

Contextual bandits in a survey experiment on charitable giving: Within-experiment outcomes versus policy learning

Adapting to misspecification in contextual bandits with offline regression oracles

Tractable contextual bandits beyond realizability

Approximation algorithms for maximin fair division

Sanath Kumar Krishnamurthy Information

University

Position

PhD student

Citations(all)

651

Citations(since 2020)

615

Cited By

257

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Stanford University

Google Scholar

View Google Scholar Profile

Sanath Kumar Krishnamurthy Skills & Research Interests

Algorithms

Causal Inference

Machine Learning

Top articles of Sanath Kumar Krishnamurthy

Title

Journal

Author(s)

Publication Date

Proportional response: Contextual bandits for simple and cumulative regret minimization

Advances in Neural Information Processing Systems

Sanath Kumar Krishnamurthy

Ruohan Zhan

Susan Athey

Emma Brunskill

2024/2/13

Flexible and efficient contextual bandits with heterogeneous treatment effect oracles

Aldo Gael Carranza

Sanath Kumar Krishnamurthy

Susan Athey

2023/4/11

Selective Uncertainty Propagation in Offline RL

arXiv preprint arXiv:2302.00284

Sanath Kumar Krishnamurthy

Tanmay Gangwani

Sumeet Katariya

Branislav Kveton

Anshuka Rangi

2023/2/1

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

arXiv preprint arXiv:2106.06483

Sanath Kumar Krishnamurthy

Adrienne Margaret Propp

Susan Athey

2023

Contextual bandits in a survey experiment on charitable giving: Within-experiment outcomes versus policy learning

arXiv preprint arXiv:2211.12004

Susan Athey

Undral Byambadalai

Vitor Hadad

Sanath Kumar Krishnamurthy

Weiwen Leung

...

2022/11/22

Adapting to misspecification in contextual bandits with offline regression oracles

Advances in Neural Information Processing Systems

Dylan J Foster

Claudio Gentile

Mehryar Mohri

Julian Zimmert

2020

Tractable contextual bandits beyond realizability

Sanath Kumar Krishnamurthy

Vitor Hadad

Susan Athey

2021/3/18

Approximation algorithms for maximin fair division

ACM Transactions on Economics and Computation (TEAC)

Siddharth Barman

Sanath Kumar Krishnamurthy

2020/3/6

Survey bandits with regret guarantees

arXiv preprint arXiv:2002.09814

Sanath Kumar Krishnamurthy

Susan Athey

2020/2/23

See List of Professors in Sanath Kumar Krishnamurthy University(Stanford University)

Co-Authors

H-index: 75
Susan Athey

Susan Athey

Stanford University

H-index: 51
Emma Brunskill

Emma Brunskill

Stanford University

H-index: 30
Joseph Jay Williams

Joseph Jay Williams

University of Toronto

H-index: 15
Arpita Biswas

Arpita Biswas

Harvard University

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