ERC Publications
Modeling Attrition in Recommender Systems with Departing Bandits.
Omer Ben-Porat, Lee Cohen, Liu Leqi, Zachary C. Lipton, Yishay Mansour
AAAI Conference on Artificial Intelligence (AAAI) 2022
Learning Efficiently Function Approximation for Contextual MDP.
Orin Levy, Yishay Mansour
European Workshop on Reinforcement Learning (EWRL), 2022;
Complex Feedback in Online Learning (CFOL), 2022
Optimism in Face of a Context: Regret Guratees for Stochastic Contextual MDP.
Orin Levy, Yishay Mansour
European Workshop on Reinforcement Learning (EWRL), 2022
Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback.
Tiancheng Jin, Tal Lancewicki, Haipeng Luo, Yishay Mansour, Aviv Rosenberg
European Workshop on Reinforcement Learning (EWRL), 2022;
Complex Feedback in Online Learning (CFOL), 2022
Modeling Attrition in Recommender Systems with Departing Bandits.
Omer Ben-Porat, Lee Cohen, Liu Leqi, Zachary C. Lipton, Yishay Mansour
AAAI Conference on Artificial Intelligence (AAAI), 2022
Learning Adversarial Markov Decision Processes with Delayed Feedback.
Tal Lancewicki, Aviv Rosenberg, Yishay Mansour
Conference on Artificial Intelligence (AAAI ), 2022
Olivier Bousquet, Amit Daniely, Haim Kaplan, Yishay Mansour, Shay Moran, Uri Stemmer
Conference on Learning Theory (COLT), 2022
Strategizing against Learners in Bayesian Games.
Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan
Conference on Learning Theory (COLT), 2022
Guarantees for Epsilon-Greedy Reinforcement Learning with Function Approximation.
Christoph Dann, Yishay Mansour, Mehryar Mohri, Ayush Sekhari, Karthik Sridharan
International Conference on Machine Learning (ICML) 2022
Cooperative Online Learning in Stochastic and Adversarial MDPs.
Tal Lancewicki, Aviv Rosenberg, Yishay Mansour
International Conference on Machine Learning (ICML), 2022;
European Workshop on Reinforcement Learning (EWRL), 2022
A Constant Approximation Algorithm for Sequential Random-Order No-Substitution k-Median Clustering.
Tom Hess, Michal Moshkovitz, Sivan Sabato
Conference on Neural Information Processing Systems (NeurIPS) 2021
Aadirupa Saha, Tomer Koren, Yishay Mansour
International Conference on Machine Learning (ICML), 2021
The Sparse Vector Technique, Revisited.
Haim Kaplan, Yishay Mansour, Uri Stemmer
Annual Conference on Learning Theory (COLT), 2021
Dueling Bandits with Team Comparisons.
Lee Cohen, Yishay Mansour, Ulrike Schmidt-Kraepelin
Conference on Neural Information Processing Systems (NeurIPS), 2021
Differentially Private Multi-Armed Bandits in the Shuffle Model.
Jay Tenenbaum, Haim Kaplan, Yishay Mansour, Uri Stemmer
Conference on Neural Information Processing Systems (NeurIPS), 2021
Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations.
Ayush Sekhari, Christoph Dann, Mehryar Mohri, Yishay Mansour, Karthik Sridharan
Conference on Neural Information Processing Systems (NeurIPS), 2021 (spotlight)
Optimal Rates for Random Order Online Optimization.
Uri Sherman, Tomer Koren, Yishay Mansour
Conference on Neural Information Processing Systems (NeurIPS), 2021
Oracle-Efficient Regret Minimization in Factored MDPs with Unknown Structure.
Aviv Rosenberg, Yishay Mansour
Conference on Neural Information Processing Systems (NeurIPS), 2021
Learning Adversarial Markov Decision Processes with Delayed Feedback.
Tal Lancewicki, Aviv Rosenberg, Yishay Mansour
International Conference on Machine Learning (ICML) 2021 (Workshop)
Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions.
Tal Lancewicki, Shahar Segal, Tomer Koren, Yishay Mansour
International Conference on Machine Learning (ICML), 2021.
Oracle-Efficient Reinforcement Learning in Factored MDPs with Unknown Structure.
Aviv Rosenberg, Yishay Mansour
Conference on Neural Information Processing Systems (NeurIPS), 2021
Minimax Regret for Stochastic Shortest Path.
Alon Cohen, Yonathan Efroni, Yishay Mansour, Aviv Rosenberg
Conference on Neural Information Processing Systems (NeurIPS), 2021
Stochastic Shortest Path with Adversarially Changing Costs.
Aviv Rosenberg, Yishay Mansour
International Joint Conferences on Artificial Intelligence Organization (IJCAI), 2021
Separating Adaptive Streaming from Oblivious Streaming.
Haim Kaplan, Yishay Mansour, Kobbi Nissim, Uri Stemmer
Competitive Equilibria with Unequal Budgets: Supporting Arbitrary Pareto Optimal Allocations.
Nir Andelman, Michal Feldman, Amos Fiat, Yishay Mansour
Prediction with Corrupted Expert Advice.
Idan Amir, Idan Attias, Tomer Koren, Yishay Mansour, Roi Livni
Reinforcement Learning with Feedback Graphs.
Christoph Dann, Yishay Mansour, Mehryar Mohri, Ayush Sekhari, Karthik Sridharan
Adversarially Robust Streaming Algorithms via Differential Privacy.
Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer
Designing Committees for Mitigating Biases.
Michal Feldman, Yishay Mansour, Noam Nisan, Sigal Oren, Moshe Tennenholtz:
AAAI 2020: 1942-1949
Private Learning of Halfspaces: Simplifying the Construction and Reducing the Sample Complexity.
Haim Kaplan, Yishay Mansour, Uri Stemmer, Eliad Tsfadia
Conference on Neural Information Processing Systems (NeurIPS), 2020
Sample Complexity of Uniform Convergence for Multicalibration.
Eliran Shabat, Lee Cohen, Yishay Mansour
Conference on Neural Information Processing Systems (NeurIPS), 2020