Shachar Lovett

Shachar Lovett

University of California, San Diego

H-index: 31

North America-United States

About Shachar Lovett

Shachar Lovett, With an exceptional h-index of 31 and a recent h-index of 22 (since 2020), a distinguished researcher at University of California, San Diego, specializes in the field of Theoretical Computer Science.

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

Refuting approaches to the log-rank conjecture for XOR functions

Fractional certificates for bounded functions

New graph decompositions and combinatorial boolean matrix multiplication algorithms

Sampling Equilibria: Fast No-Regret Learning in Structured Games

Streaming Lower Bounds and Asymmetric Set-Disjointness

Explicit separations between randomized and deterministic Number-on-Forehead communication

Exponential Hardness of Reinforcement Learning with Linear Function Approximation

Do PAC-Learners Learn the Marginal Distribution?

Shachar Lovett Information

University

Position

Associate Professor of Computer Science

Citations(all)

3604

Citations(since 2020)

2040

Cited By

2372

hIndex(all)

31

hIndex(since 2020)

22

i10Index(all)

90

i10Index(since 2020)

70

Email

University Profile Page

University of California, San Diego

Google Scholar

View Google Scholar Profile

Shachar Lovett Skills & Research Interests

Theoretical Computer Science

Top articles of Shachar Lovett

Title

Journal

Author(s)

Publication Date

Refuting approaches to the log-rank conjecture for XOR functions

arXiv preprint arXiv:2312.09400

Hamed Hatami

Kaave Hosseini

Shachar Lovett

Anthony Ostuni

2023/12/14

Fractional certificates for bounded functions

Shachar Lovett

Jiapeng Zhang

2023

New graph decompositions and combinatorial boolean matrix multiplication algorithms

arXiv preprint arXiv:2311.09095

Amir Abboud

Nick Fischer

Zander Kelley

Shachar Lovett

Raghu Meka

2023/11/15

Sampling Equilibria: Fast No-Regret Learning in Structured Games

Daniel Beaglehole

Max Hopkins

Daniel Kane

Sihan Liu

Shachar Lovett

2023

Streaming Lower Bounds and Asymmetric Set-Disjointness

Shachar Lovett

Jiapeng Zhang

2023/11/6

Explicit separations between randomized and deterministic Number-on-Forehead communication

arXiv preprint arXiv:2308.12451

Zander Kelley

Shachar Lovett

Raghu Meka

2023/8/23

Exponential Hardness of Reinforcement Learning with Linear Function Approximation

Sihan Liu

Gaurav Mahajan

Daniel Kane

Shachar Lovett

Gellért Weisz

...

2023/7/12

Do PAC-Learners Learn the Marginal Distribution?

arXiv preprint arXiv:2302.06285

Max Hopkins

Daniel M Kane

Shachar Lovett

Gaurav Mahajan

2023/2/13

Computation Theory

ACM Transactions on

Ryan O’Donnell

Vikraman Arvind

Albert Atserias

Andrej Bogdanov

Harry Buhrman

...

2022

Computational-statistical gap in reinforcement learning

Daniel Kane

Sihan Liu

Shachar Lovett

Gaurav Mahajan

2022/6/28

LIPIcs, Volume 234, CCC 2022, Complete Volume

Shachar Lovett

2022

Realizable learning is all you need

Max Hopkins

Daniel M Kane

Shachar Lovett

Gaurav Mahajan

2022/6/28

High dimensional expanders: Eigenstripping, pseudorandomness, and unique games

Mitali Bafna

Max Hopkins

Tali Kaufman

Shachar Lovett

2022

Hypercontractivity on high dimensional expanders

Mitali Bafna

Max Hopkins

Tali Kaufman

Shachar Lovett

2022/6/9

Approximate union closed conjecture

arXiv preprint arXiv:2211.11689

Zachary Chase

Shachar Lovett

2022/11/21

Lifting with sunflowers

Leibniz international proceedings in informatics

Shachar Lovett

Raghu Meka

Ian Mertz

Toniann Pitassi

Jiapeng Zhang

2022/1

Eigenstripping, Spectral Decay, and Edge-Expansion on Posets

arXiv preprint arXiv:2205.00644

Jason Gaitonde

Max Hopkins

Tali Kaufman

Shachar Lovett

Ruizhe Zhang

2022/5/2

Sign-rank vs. discrepancy

Theory of Computing

Kaave Hosseini

Hamed Hatami

Shachar Lovett

2022/7/9

Sunflowers and Robust Sunflowers from Randomness Extractors

Theory of Computing

Xin Li

Shachar Lovett

Jiapeng Zhang

2022/1/31

37th Computational Complexity Conference

Shachar Lovett

2022/7

See List of Professors in Shachar Lovett University(University of California, San Diego)

Co-Authors

H-index: 73
Yevgeniy Dodis

Yevgeniy Dodis

New York University

H-index: 62
Russell Impagliazzo

Russell Impagliazzo

University of California, San Diego

H-index: 41
Daniel Kane

Daniel Kane

University of California, San Diego

H-index: 36
Greg Kuperberg

Greg Kuperberg

University of California, Davis

H-index: 35
Ely Porat (אלי פורת)

Ely Porat (אלי פורת)

Bar-Ilan University

H-index: 31
Raghu Meka

Raghu Meka

University of California, Los Angeles

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