Akshay Krishnamurthy

Akshay Krishnamurthy

University of Massachusetts Amherst

H-index: 41

North America-United States

About Akshay Krishnamurthy

Akshay Krishnamurthy, With an exceptional h-index of 41 and a recent h-index of 38 (since 2020), a distinguished researcher at University of Massachusetts Amherst, specializes in the field of Machine Learning.

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

System for effective use of data for personalization

Oracle-efficient pessimism: Offline policy optimization in contextual bandits

Model-free representation learning and exploration in low-rank mdps

Can large language models explore in-context?

Scalable Online Exploration via Coverability

Exposing attention glitches with flip-flop language modeling

Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learning

Statistical learning under heterogenous distribution shift

Akshay Krishnamurthy Information

University

Position

___

Citations(all)

6835

Citations(since 2020)

5867

Cited By

2551

hIndex(all)

41

hIndex(since 2020)

38

i10Index(all)

79

i10Index(since 2020)

73

Email

University Profile Page

University of Massachusetts Amherst

Google Scholar

View Google Scholar Profile

Akshay Krishnamurthy Skills & Research Interests

Machine Learning

Top articles of Akshay Krishnamurthy

Title

Journal

Author(s)

Publication Date

System for effective use of data for personalization

2024/1/4

Oracle-efficient pessimism: Offline policy optimization in contextual bandits

Lequn Wang

Akshay Krishnamurthy

Alex Slivkins

2024/4/18

Model-free representation learning and exploration in low-rank mdps

Journal of Machine Learning Research

Aditya Modi

Jinglin Chen

Akshay Krishnamurthy

Nan Jiang

Alekh Agarwal

2024

Can large language models explore in-context?

arXiv preprint arXiv:2403.15371

Akshay Krishnamurthy

Keegan Harris

Dylan J Foster

Cyril Zhang

Aleksandrs Slivkins

2024/3/22

Scalable Online Exploration via Coverability

arXiv preprint arXiv:2403.06571

Philip Amortila

Dylan J Foster

Akshay Krishnamurthy

2024/3/11

Exposing attention glitches with flip-flop language modeling

Advances in Neural Information Processing Systems

Bingbin Liu

Jordan Ash

Surbhi Goel

Akshay Krishnamurthy

Cyril Zhang

2024/2/13

Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learning

arXiv preprint arXiv:2401.12216

Philip Amortila

Tongyi Cao

Akshay Krishnamurthy

2024/1/22

Statistical learning under heterogenous distribution shift

Max Simchowitz

Anurag Ajay

Pulkit Agrawal

Akshay Krishnamurthy

2023/7/3

Contextual search in the presence of adversarial corruptions

Operations Research

Akshay Krishnamurthy

Thodoris Lykouris

Chara Podimata

Robert Schapire

2023/7

Butterfly effects of sgd noise: Error amplification in behavior cloning and autoregression

arXiv preprint arXiv:2310.11428

Adam Block

Dylan J Foster

Akshay Krishnamurthy

Max Simchowitz

Cyril Zhang

2023/10/17

Robust dynamic assortment optimization in the presence of outlier customers

Operations Research

Xi Chen

Akshay Krishnamurthy

Yining Wang

2023/8/21

Learning hidden markov models using conditional samples

Gaurav Mahajan

Sham Kakade

Akshay Krishnamurthy

Cyril Zhang

2023/7/12

Streaming active learning with deep neural networks

Akanksha Saran

Safoora Yousefi

Akshay Krishnamurthy

John Langford

Jordan T Ash

2023/7/3

Sparsity in partially controllable linear systems

Yonathan Efroni

Sham Kakade

Akshay Krishnamurthy

Cyril Zhang

2022/6/28

Guaranteed discovery of control-endogenous latent states with multi-step inverse models

arXiv preprint arXiv:2207.08229

Alex Lamb

Riashat Islam

Yonathan Efroni

Aniket Didolkar

Dipendra Misra

...

2022/7/17

Efficient and optimal algorithms for contextual dueling bandits under realizability

Aadirupa Saha

Akshay Krishnamurthy

2022/3/20

Sample-efficient reinforcement learning in the presence of exogenous information

Yonathan Efroni

Dylan J Foster

Dipendra Misra

Akshay Krishnamurthy

John Langford

2022/6/28

A sharp characterization of linear estimators for offline policy evaluation

arXiv preprint arXiv:2203.04236

Juan C Perdomo

Akshay Krishnamurthy

Peter Bartlett

Sham Kakade

2022/3

On the statistical efficiency of reward-free exploration in non-linear rl

Advances in Neural Information Processing Systems

Jinglin Chen

Aditya Modi

Akshay Krishnamurthy

Nan Jiang

Alekh Agarwal

2022/12/6

Understanding contrastive learning requires incorporating inductive biases

Nikunj Saunshi

Jordan Ash

Surbhi Goel

Dipendra Misra

Cyril Zhang

...

2022/6/28

See List of Professors in Akshay Krishnamurthy University(University of Massachusetts Amherst)