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Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations


Jun 22, 2021
Christoph Dann, Yishay Mansour, Mehryar Mohri, Ayush Sekhari, Karthik Sridharan


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Differentially Private Multi-Armed Bandits in the Shuffle Model


Jun 08, 2021
Jay Tenenbaum, Haim Kaplan, Yishay Mansour, Uri Stemmer


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Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions


Jun 04, 2021
Tal Lancewicki, Shahar Segal, Tomer Koren, Yishay Mansour

* 33 pages, 5 figures, ICML 2021 

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Minimax Regret for Stochastic Shortest Path


Mar 24, 2021
Alon Cohen, Yonathan Efroni, Yishay Mansour, Aviv Rosenberg


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Online Markov Decision Processes with Aggregate Bandit Feedback


Jan 31, 2021
Alon Cohen, Haim Kaplan, Tomer Koren, Yishay Mansour


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Learning Adversarial Markov Decision Processes with Delayed Feedback


Jan 29, 2021
Tal Lancewicki, Aviv Rosenberg, Yishay Mansour


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Adversarial Dueling Bandits


Oct 27, 2020
Aadirupa Saha, Tomer Koren, Yishay Mansour

* 26 pages 

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The Sparse Vector Technique, Revisited


Oct 02, 2020
Haim Kaplan, Yishay Mansour, Uri Stemmer


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Oracle-Efficient Reinforcement Learning in Factored MDPs with Unknown Structure


Sep 13, 2020
Aviv Rosenberg, Yishay Mansour


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Beyond Individual and Group Fairness


Aug 21, 2020
Pranjal Awasthi, Corinna Cortes, Yishay Mansour, Mehryar Mohri


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Detecting malicious PDF using CNN


Aug 02, 2020
Raphael Fettaya, Yishay Mansour


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Competing Bandits: The Perils of Exploration Under Competition


Jul 20, 2020
Guy Aridor, Yishay Mansour, Aleksandrs Slivkins, Zhiwei Steven Wu

* merged and extended version of arXiv:1702.08533 and arXiv:1902.05590 

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A Theory of Multiple-Source Adaptation with Limited Target Labeled Data


Jul 19, 2020
Yishay Mansour, Mehryar Mohri, Ananda Theertha Suresh, Ke Wu

* 20 pages 

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Adversarial Stochastic Shortest Path


Jun 20, 2020
Aviv Rosenberg, Yishay Mansour


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Reinforcement Learning with Feedback Graphs


May 07, 2020
Christoph Dann, Yishay Mansour, Mehryar Mohri, Ayush Sekhari, Karthik Sridharan


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Sample Complexity of Uniform Convergence for Multicalibration


May 04, 2020
Eliran Shabat, Lee Cohen, 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

* arXiv admin note: text overlap with arXiv:1902.10731 

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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

* 23 pages 

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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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Graph-based Discriminators: Sample Complexity and Expressiveness


Jun 01, 2019
Roi Livni, Yishay Mansour


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