Alex Olshevsky

Alex Olshevsky

Boston University

H-index: 37

North America-United States

About Alex Olshevsky

Alex Olshevsky, With an exceptional h-index of 37 and a recent h-index of 31 (since 2020), a distinguished researcher at Boston University, specializes in the field of Control theory, Optimization, Multi-agent systems.

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

Sample Complexity of the Linear Quadratic Regulator: A Reinforcement Learning Lens

Convergence of Actor-Critic with Multi-Layer Neural Networks

Convex SGD: Generalization Without Early Stopping

On the performance of temporal difference learning with neural networks

Distributed td (0) with almost no communication

A small gain analysis of single timescale actor critic

Closing the gap between SVRG and TD-SVRG with Gradient Splitting

Guest Editorial Special Issue on Dynamics and Behaviors in Social Networks

Alex Olshevsky Information

University

Position

Associate Professor

Citations(all)

9924

Citations(since 2020)

5799

Cited By

6499

hIndex(all)

37

hIndex(since 2020)

31

i10Index(all)

73

i10Index(since 2020)

63

Email

University Profile Page

Boston University

Google Scholar

View Google Scholar Profile

Alex Olshevsky Skills & Research Interests

Control theory

Optimization

Multi-agent systems

Top articles of Alex Olshevsky

Title

Journal

Author(s)

Publication Date

Sample Complexity of the Linear Quadratic Regulator: A Reinforcement Learning Lens

arXiv preprint arXiv:2404.10851

Amirreza Neshaei Moghaddam

Alex Olshevsky

Bahman Gharesifard

2024/4/16

Convergence of Actor-Critic with Multi-Layer Neural Networks

Advances in Neural Information Processing Systems

Haoxing Tian

Alex Olshevsky

Yannis Paschalidis

2024/2/13

Convex SGD: Generalization Without Early Stopping

arXiv preprint arXiv:2401.04067

Julien Hendrickx

Alex Olshevsky

2024/1/8

On the performance of temporal difference learning with neural networks

arXiv preprint arXiv:2312.05397

Haoxing Tian

Ioannis Ch Paschalidis

Alex Olshevsky

2023/12/8

Distributed td (0) with almost no communication

arXiv preprint arXiv:2104.07855

Rui Liu

Alex Olshevsky

2021/4/16

A small gain analysis of single timescale actor critic

SIAM Journal on Control and Optimization

Alex Olshevsky

Bahman Gharesifard

2023/4/30

Closing the gap between SVRG and TD-SVRG with Gradient Splitting

arXiv preprint arXiv:2211.16237

Arsenii Mustafin

Alex Olshevsky

Ioannis Ch Paschalidis

2022/11/29

Guest Editorial Special Issue on Dynamics and Behaviors in Social Networks

IEEE Transactions on Control of Network Systems

Claudio Altafini

Giacomo Como

Julien M Hendrickx

Alexander Olshevsky

Alireza Tahbaz-Salehi

2022

The role of systems theory in control oriented learning

25th International Symposium on Mathematical Theory of Networks and Systems

Mario Sznaier

Alex Olshevsky

Eduardo D Sontag

2022

Nonasymptotic concentration rates in cooperative learning—Part II: Inference on compact hypothesis sets

IEEE Transactions on Control of Network Systems

César A Uribe

Alex Olshevsky

Angelia Nedić

2022/1/5

Asymptotic network independence and step-size for a distributed subgradient method

Journal of machine learning research

Alex Olshevsky

2022

Optimal vaccine allocation for pandemic stabilization

arXiv preprint arXiv:2109.04612

Qianqian Ma

Yang-Yu Liu

Alex Olshevsky

2021/9/10

Temporal difference learning as gradient splitting

Rui Liu

Alex Olshevsky

2021/7/1

A sharp estimate on the transient time of distributed stochastic gradient descent

IEEE Transactions on Automatic Control

Shi Pu

Alex Olshevsky

Ioannis Ch Paschalidis

2021/11/9

Deterministic and randomized actuator scheduling with guaranteed performance bounds

IEEE Transactions on Automatic Control

Milad Siami

Alexander Olshevsky

Ali Jadbabaie

2020/6/9

On a relaxation of time-varying actuator placement

IEEE Control Systems Letters

Alex Olshevsky

2020/4/23

Minimax Rank- Matrix Factorization

Venkatesh Saligrama

Alexander Olshevsky

Julien Hendrickx

2020/6/3

Adversarial crowdsourcing through robust rank-one matrix completion

Advances in Neural Information Processing Systems

Qianqian Ma

Alex Olshevsky

2020

Robust asynchronous stochastic gradient-push: Asymptotically optimal and network-independent performance for strongly convex functions

Journal of machine learning research

Artin Spiridonoff

Alex Olshevsky

Ioannis Ch Paschalidis

2020

Minimax rate for learning from pairwise comparisons in the BTL model

Julien Hendrickx

Alex Olshevsky

Venkatesh Saligrama

2020/11/21

See List of Professors in Alex Olshevsky University(Boston University)

Co-Authors

H-index: 96
John Tsitsiklis

John Tsitsiklis

Massachusetts Institute of Technology

H-index: 74
Asuman Ozdaglar

Asuman Ozdaglar

Massachusetts Institute of Technology

H-index: 73
Naomi Leonard

Naomi Leonard

Princeton University

H-index: 71
Ali Jadbabaie

Ali Jadbabaie

Massachusetts Institute of Technology

H-index: 67
Vincent Blondel

Vincent Blondel

Université Catholique de Louvain

H-index: 64
Angelia Nedich

Angelia Nedich

Arizona State University

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