Ankur Moitra

Ankur Moitra

Massachusetts Institute of Technology

H-index: 39

North America-United States

About Ankur Moitra

Ankur Moitra, With an exceptional h-index of 39 and a recent h-index of 32 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Theory, Machine Learning.

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

On Learning Parities with Dependent Noise

Exploration is Harder than Prediction: Cryptographically Separating Reinforcement Learning from Supervised Learning

High-temperature Gibbs states are unentangled and efficiently preparable

Provable benefits of score matching

Structure learning of Hamiltonians from real-time evolution

Robust voting rules from algorithmic robust statistics

A new approach to learning linear dynamical systems

Precise Error Rates for Computationally Efficient Testing

Ankur Moitra Information

University

Position

Associate Professor of Applied Mathematics

Citations(all)

7107

Citations(since 2020)

4365

Cited By

4800

hIndex(all)

39

hIndex(since 2020)

32

i10Index(all)

73

i10Index(since 2020)

69

Email

University Profile Page

Massachusetts Institute of Technology

Google Scholar

View Google Scholar Profile

Ankur Moitra Skills & Research Interests

Theory

Machine Learning

Top articles of Ankur Moitra

Title

Journal

Author(s)

Publication Date

On Learning Parities with Dependent Noise

arXiv preprint arXiv:2404.11325

Noah Golowich

Ankur Moitra

Dhruv Rohatgi

2024/4/17

Exploration is Harder than Prediction: Cryptographically Separating Reinforcement Learning from Supervised Learning

arXiv preprint arXiv:2404.03774

Noah Golowich

Ankur Moitra

Dhruv Rohatgi

2024/4/4

High-temperature Gibbs states are unentangled and efficiently preparable

arXiv preprint arXiv:2403.16850

Ainesh Bakshi

Allen Liu

Ankur Moitra

Ewin Tang

2024/3/25

Provable benefits of score matching

Advances in Neural Information Processing Systems

Chirag Pabbaraju

Dhruv Rohatgi

Anish Prasad Sevekari

Holden Lee

Ankur Moitra

...

2024/2/13

Structure learning of Hamiltonians from real-time evolution

arXiv preprint arXiv:2405.00082

Ainesh Bakshi

Allen Liu

Ankur Moitra

Ewin Tang

2024/4/30

Robust voting rules from algorithmic robust statistics

Allen Liu

Ankur Moitra

2023

A new approach to learning linear dynamical systems

Ainesh Bakshi

Allen Liu

Ankur Moitra

Morris Yau

2023/6/2

Precise Error Rates for Computationally Efficient Testing

arXiv preprint arXiv:2311.00289

Ankur Moitra

Alexander S Wein

2023/11/1

Robustly learning general mixtures of gaussians

Journal of the ACM

Allen Liu

Ankur Moitra

2023/5/23

Learning quantum hamiltonians at any temperature in polynomial time

arXiv preprint arXiv:2310.02243

Ainesh Bakshi

Allen Liu

Ankur Moitra

Ewin Tang

2023/10/3

The power of an adversary in Glauber dynamics

arXiv preprint arXiv:2302.10841

Byron Chin

Ankur Moitra

Elchanan Mossel

Colin Sandon

2023/2/21

Exploring and learning in sparse linear mdps without computationally intractable oracles

arXiv preprint arXiv:2309.09457

Noah Golowich

Dhruv Rohatgi

Ankur Moitra

2023/9/18

ACM Transactions on

ACM Transactions on

Edith Cohen

Susanne Albers

Glencora Borradaile

Andrei A Bulatov

Keren Censor-Hillel

...

2023

Tensor decompositions meet control theory: learning general mixtures of linear dynamical systems

Ainesh Bakshi

Allen Liu

Ankur Moitra

Morris Yau

2023/7/3

From Algorithms to Connectivity and Back: Finding a Giant Component in Random k-SAT

Zongchen Chen

Nitya Mani

Ankur Moitra

2023

Planning and learning in partially observable systems via filter stability

Noah Golowich

Ankur Moitra

Dhruv Rohatgi

2023/6/2

Strong spatial mixing for colorings on trees and its algorithmic applications

Zongchen Chen

Kuikui Liu

Nitya Mani

Ankur Moitra

2023/11/6

Online and distribution-free robustness: Regression and contextual bandits with huber contamination

Sitan Chen

Frederic Koehler

Ankur Moitra

Morris Yau

2022/2/7

Can Q-learning be improved with advice?

Noah Golowich

Ankur Moitra

2022/6/28

Robust model selection and nearly-proper learning for GMMs

Advances in Neural Information Processing Systems

Allen Liu

Jerry Li

Ankur Moitra

2022/12/6

See List of Professors in Ankur Moitra University(Massachusetts Institute of Technology)