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Scholarly Works (13 results)
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Article
Peer Reviewed
Testing Closeness of Multivariate Distributions via Ramsey Theory
Diakonikolas, Ilias
;
Kane, Daniel M
;
Liu, Sihan
UC San Diego Previously Published Works
(2024)
Article
Peer Reviewed
Near-Optimal Bounds for Testing Histogram Distributions
Canonne, Clement L
;
Diakonikolas, Ilias
;
Kane, Daniel M
;
Liu, Sihan
UC San Diego Previously Published Works
(2022)
Article
Peer Reviewed
Online Robust Mean Estimation
Kane, Daniel M
;
Diakonikolas, Ilias
;
Xiao, Hanshen
;
Liu, Sihan
UC San Diego Previously Published Works
(2024)
Article
Peer Reviewed
Replicability in High Dimensional Statistics
Hopkins, Max
;
Impagliazzo, Russell
;
Kane, Daniel
;
Liu, Sihan
;
Ye, Christopher
UC San Diego Previously Published Works
(2024)
Article
Peer Reviewed
Sampling Equilibria: Fast No-Regret Learning in Structured Games
Beaglehole, Daniel
;
Hopkins, Max
;
Kane, Daniel
;
Liu, Sihan
;
Lovett, Shachar
UC San Diego Previously Published Works
(2023)
Article
Peer Reviewed
Testable Learning of
General
Halfspaces with Adversarial Label Noise
Diakonikolas, Ilias
;
Kane, Daniel M
;
Liu, Sihan
;
Zarifis, Nikos
UC San Diego Previously Published Works
(2023)
Article
Peer Reviewed
Computational-Statistical Gap in Reinforcement Learning
Kane, Daniel
;
Liu, Sihan
;
Lovett, Shachar
;
Mahajan, Gaurav
UC San Diego Previously Published Works
(2022)
Article
Peer Reviewed
Efficient Testable Learning of Halfspaces with Adversarial Label Noise
Diakonikolas, Ilias
;
Kane, Daniel M
;
Kontonis, Vasilis
;
Liu, Sihan
;
Zarifis, Nikos
UC San Diego Previously Published Works
(2023)
Article
Peer Reviewed
Super Non-singular Decompositions of Polynomials and Their Application to Robustly Learning Low-Degree PTFs
Diakonikolas, Ilias
;
Kane, Daniel M
;
Kontonis, Vasilis
;
Liu, Sihan
;
Zarifis, Nikos
UC San Diego Previously Published Works
(2024)
Article
Peer Reviewed
Exponential Hardness of Reinforcement Learning with Linear Function Approximation
Kane, Daniel
;
Liu, Sihan
;
Lovett, Shachar
;
Mahajan, Gaurav
;
Szepesvari, Csaba
;
Weisz, Gellert
UC San Diego Previously Published Works
(2023)
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