Alexander Rakhlin

Alexander Rakhlin

Massachusetts Institute of Technology

H-index: 52

North America-United States

About Alexander Rakhlin

Alexander Rakhlin, With an exceptional h-index of 52 and a recent h-index of 42 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Machine Learning, Statistics, Algorithms, Probability.

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

Efficient model-free exploration in low-rank mdps

Online Estimation via Offline Estimation: An Information-Theoretic Framework

Convex and non-convex optimization under generalized smoothness

Offline Reinforcement Learning: Role of State Aggregation and Trajectory Data

On the Variance, Admissibility, and Stability of Empirical Risk Minimization

On the Performance of Empirical Risk Minimization with Smoothed Data

Convergence of Adam under relaxed assumptions

Model-free reinforcement learning with the decision-estimation coefficient

Alexander Rakhlin Information

University

Position

Associate Professor

Citations(all)

9591

Citations(since 2020)

6849

Cited By

5450

hIndex(all)

52

hIndex(since 2020)

42

i10Index(all)

93

i10Index(since 2020)

78

Email

University Profile Page

Massachusetts Institute of Technology

Google Scholar

View Google Scholar Profile

Alexander Rakhlin Skills & Research Interests

Machine Learning

Statistics

Algorithms

Probability

Top articles of Alexander Rakhlin

Title

Journal

Author(s)

Publication Date

Efficient model-free exploration in low-rank mdps

Advances in Neural Information Processing Systems

Zak Mhammedi

Adam Block

Dylan J Foster

Alexander Rakhlin

2024/2/13

Online Estimation via Offline Estimation: An Information-Theoretic Framework

arXiv preprint arXiv:2404.10122

Dylan J Foster

Yanjun Han

Jian Qian

Alexander Rakhlin

2024/4/15

Convex and non-convex optimization under generalized smoothness

Advances in Neural Information Processing Systems

Haochuan Li

Jian Qian

Yi Tian

Alexander Rakhlin

Ali Jadbabaie

2024/2/13

Offline Reinforcement Learning: Role of State Aggregation and Trajectory Data

arXiv preprint arXiv:2403.17091

Zeyu Jia

Alexander Rakhlin

Ayush Sekhari

Chen-Yu Wei

2024/3/25

On the Variance, Admissibility, and Stability of Empirical Risk Minimization

Advances in Neural Information Processing Systems

Gil Kur

Eli Putterman

Alexander Rakhlin

2024/2/13

On the Performance of Empirical Risk Minimization with Smoothed Data

arXiv preprint arXiv:2402.14987

Adam Block

Alexander Rakhlin

Abhishek Shetty

2024/2/22

Convergence of Adam under relaxed assumptions

Advances in Neural Information Processing Systems

Haochuan Li

Alexander Rakhlin

Ali Jadbabaie

2024/2/13

Model-free reinforcement learning with the decision-estimation coefficient

Advances in Neural Information Processing Systems

Dylan J Foster

Noah Golowich

Jian Qian

Alexander Rakhlin

Ayush Sekhari

2024/2/13

When is Agnostic Reinforcement Learning Statistically Tractable?

Advances in Neural Information Processing Systems

Zeyu Jia

Gene Li

Alexander Rakhlin

Ayush Sekhari

Nati Srebro

2024/2/13

On the complexity of multi-agent decision making: From learning in games to partial monitoring

Dean Foster

Dylan J Foster

Noah Golowich

Alexander Rakhlin

2023/7/12

Oracle-efficient smoothed online learning for piecewise continuous decision making

Adam Block

Max Simchowitz

Alexander Rakhlin

2023/7/12

Representation learning with multi-step inverse kinematics: An efficient and optimal approach to rich-observation rl

Zakaria Mhammedi

Dylan J Foster

Alexander Rakhlin

2023/7/3

Tight Bounds for -Regret via the Decision-Estimation Coefficient

arXiv preprint arXiv:2303.03327

Margalit Glasgow

Alexander Rakhlin

2023/3/6

Foundations of reinforcement learning and interactive decision making

arXiv preprint arXiv:2312.16730

Dylan J Foster

Alexander Rakhlin

2023/12/27

Smoothed online learning is as easy as statistical learning

Adam Block

Yuval Dagan

Noah Golowich

Alexander Rakhlin

2022/6/28

Rate of convergence of the smoothed empirical Wasserstein distance

arXiv preprint arXiv:2205.02128

Adam Block

Zeyu Jia

Yury Polyanskiy

Alexander Rakhlin

2022/5/4

On the complexity of adversarial decision making

Advances in Neural Information Processing Systems

Dylan J Foster

Alexander Rakhlin

Ayush Sekhari

Karthik Sridharan

2022/12/6

Damped online Newton step for portfolio selection

Zakaria Mhammedi

Alexander Rakhlin

2022/6/28

Top-k extreme contextual bandits with arm hierarchy

Rajat Sen

Alexander Rakhlin

Lexing Ying

Rahul Kidambi

Dean Foster

...

2021/7/1

Finite time LTI system identification

Journal of Machine Learning Research

Tuhin Sarkar

Alexander Rakhlin

Munther A Dahleh

2021

See List of Professors in Alexander Rakhlin University(Massachusetts Institute of Technology)