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Sihan Liu

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Improved classical shadows from local symmetries in the Schur basis

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May 15, 2024
Daniel Grier, Sihan Liu, Gaurav Mahajan

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Super Non-singular Decompositions of Polynomials and their Application to Robustly Learning Low-degree PTFs

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Mar 31, 2024
Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Sihan Liu, Nikos Zarifis

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Rotated Multi-Scale Interaction Network for Referring Remote Sensing Image Segmentation

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Dec 19, 2023
Sihan Liu, Yiwei Ma, Xiaoqing Zhang, Haowei Wang, Jiayi Ji, Xiaoshuai Sun, Rongrong Ji

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Testing Closeness of Multivariate Distributions via Ramsey Theory

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Nov 22, 2023
Ilias Diakonikolas, Daniel M. Kane, Sihan Liu

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Online Robust Mean Estimation

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Oct 24, 2023
Daniel M. Kane, Ilias Diakonikolas, Hanshen Xiao, Sihan Liu

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Efficient Testable Learning of Halfspaces with Adversarial Label Noise

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Mar 09, 2023
Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Sihan Liu, Nikos Zarifis

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Exponential Hardness of Reinforcement Learning with Linear Function Approximation

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Feb 25, 2023
Daniel Kane, Sihan Liu, Shachar Lovett, Gaurav Mahajan, Csaba Szepesvári, Gellért Weisz

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Near-Optimal Bounds for Testing Histogram Distributions

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Jul 14, 2022
Clément L. Canonne, Ilias Diakonikolas, Daniel M. Kane, Sihan Liu

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Computational-Statistical Gaps in Reinforcement Learning

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Feb 11, 2022
Daniel Kane, Sihan Liu, Shachar Lovett, Gaurav Mahajan

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Convergence and Sample Complexity of SGD in GANs

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Dec 01, 2020
Vasilis Kontonis, Sihan Liu, Christos Tzamos

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