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Yishay Mansour

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Private Learning of Halfspaces: Simplifying the Construction and Reducing the Sample Complexity

Apr 16, 2020
Haim Kaplan, Yishay Mansour, Uri Stemmer, Eliad Tsfadia

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Adversarially Robust Streaming Algorithms via Differential Privacy

Apr 13, 2020
Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer

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Three Approaches for Personalization with Applications to Federated Learning

Feb 25, 2020
Yishay Mansour, Mehryar Mohri, Jae Ro, Ananda Theertha Suresh

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Prediction with Corrupted Expert Advice

Feb 24, 2020
Idan Amir, Idan Attias, Tomer Koren, Roi Livni, Yishay Mansour

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Near-optimal Regret Bounds for Stochastic Shortest Path

Feb 23, 2020
Alon Cohen, Haim Kaplan, Yishay Mansour, Aviv Rosenberg

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Privately Learning Thresholds: Closing the Exponential Gap

Nov 22, 2019
Haim Kaplan, Katrina Ligett, Yishay Mansour, Moni Naor, Uri Stemmer

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Apprenticeship Learning via Frank-Wolfe

Nov 20, 2019
Tom Zahavy, Alon Cohen, Haim Kaplan, Yishay Mansour

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Individual Regret in Cooperative Nonstochastic Multi-Armed Bandits

Jul 07, 2019
Yogev Bar-On, Yishay Mansour

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Thompson Sampling for Adversarial Bit Prediction

Jun 21, 2019
Yuval Lewi, Haim Kaplan, Yishay Mansour

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