top of page

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

 

Monotone Learning.

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

​

Adversarial Dueling Bandits.

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

CoRR abs/2101.10836, (2021)

​

Competitive Equilibria with Unequal Budgets: Supporting Arbitrary Pareto Optimal Allocations.

Nir Andelman, Michal Feldman, Amos Fiat, Yishay Mansour

CoRR abs/2103.08634, (2021)

​

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

​

​

​

​

​

bottom of page