Sarath Pattathil

About Sarath Pattathil

Sarath Pattathil, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Optimization, Applied Probability, Machine Learning.

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

Optimal adaptive testing for epidemic control: combining molecular and serology tests

Learning, Diversity and Adaptation in Changing Environments: The Role of Weak Links

Symmetric (optimistic) natural policy gradient for multi-agent learning with parameter convergence

Autobidders with budget and roi constraints: Efficiency, regret, and pacing dynamics

Optimization and Generalization of Minimax Algorithms

What is a Good Metric to Study Generalization of Minimax Learners?

Whittle indexability in egalitarian processor sharing systems

An optimal multistage stochastic gradient method for minimax problems

Sarath Pattathil Information

University

Position

___

Citations(all)

854

Citations(since 2020)

827

Cited By

217

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

14

i10Index(since 2020)

13

Email

University Profile Page

Google Scholar

Sarath Pattathil Skills & Research Interests

Optimization

Applied Probability

Machine Learning

Top articles of Sarath Pattathil

Optimal adaptive testing for epidemic control: combining molecular and serology tests

Automatica

2024/2/1

Learning, Diversity and Adaptation in Changing Environments: The Role of Weak Links

2023/5/8

Symmetric (optimistic) natural policy gradient for multi-agent learning with parameter convergence

2022

Autobidders with budget and roi constraints: Efficiency, regret, and pacing dynamics

arXiv preprint arXiv:2301.13306

2023/1/30

Sarath Pattathil
Sarath Pattathil

H-Index: 7

Mengxiao Zhang
Mengxiao Zhang

H-Index: 1

Optimization and Generalization of Minimax Algorithms

2023

Sarath Pattathil
Sarath Pattathil

H-Index: 7

What is a Good Metric to Study Generalization of Minimax Learners?

2022/6/9

Whittle indexability in egalitarian processor sharing systems

Annals of Operations Research

2022/10

Sarath Pattathil
Sarath Pattathil

H-Index: 7

An optimal multistage stochastic gradient method for minimax problems

2020/12/14

Tight last-iterate convergence rates for no-regret learning in multi-player games

Advances in neural information processing systems

2020

Jordan centre in random trees: persistence and distance to root

Journal of Complex Networks

2020/8

Last iterate is slower than averaged iterate in smooth convex-concave saddle point problems

2020/7/15

A unified analysis of extra-gradient and optimistic gradient methods for saddle point problems: Proximal point approach

2020/6/3

Adaptive acoustic echo delay estimation

2020/4/28

Convergence Rate of for Optimistic Gradient and Extragradient Methods in Smooth Convex-Concave Saddle Point Problems

SIAM Journal on Optimization

2020

Aryan Mokhtari
Aryan Mokhtari

H-Index: 0

Sarath Pattathil
Sarath Pattathil

H-Index: 7

See List of Professors in Sarath Pattathil University(Massachusetts Institute of Technology)

Co-Authors

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