Yishay Mansour

ORCID

Publication Activity (10 Years)

Years Active: 1986-2024
Publications (10 Years): 237

Top Venues

Publications

Liad Erez, Alon Cohen, Tomer Koren, Yishay Mansour, Shay Moran
The Real Price of Bandit Information in Multiclass Classification. COLT (2024)
Marco Bressan, Nicolò Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, Maximilian Thiessen
A Theory of Interpretable Approximations. COLT (2024)
Marco Bressan, Nicolò Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, Maximilian Thiessen
A Theory of Interpretable Approximations. CoRR (2024)
Lee Cohen, Yishay Mansour, Shay Moran, Han Shao
Learnability Gaps of Strategic Classification. COLT (2024)
Edith Cohen, Haim Kaplan, Yishay Mansour, Shay Moran, Kobbi Nissim, Uri Stemmer, Eliad Tsfadia
Data Reconstruction: When You See It and When You Don't. CoRR (2024)
Aadirupa Saha, Vitaly Feldman, Yishay Mansour, Tomer Koren
Faster Convergence with MultiWay Preferences. AISTATS (2024)
Richard Nock, Yishay Mansour
How to Boost Any Loss Function. CoRR (2024)
Lee Cohen, Yishay Mansour, Shay Moran, Han Shao
Learnability Gaps of Strategic Classification. CoRR (2024)
Yogev Bar-On, Yishay Mansour
Non-stochastic Bandits With Evolving Observations. CoRR (2024)
Omer Ben-Porat, Yishay Mansour, Michal Moshkovitz, Boaz Taitler
Principal-Agent Reward Shaping in MDPs. CoRR (2024)
Liad Erez, Alon Cohen, Tomer Koren, Yishay Mansour, Shay Moran
Fast Rates for Bandit PAC Multiclass Classification. CoRR (2024)
Pranjal Awasthi, Corinna Cortes, Yishay Mansour, Mehryar Mohri
A Theory of Learning with Competing Objectives and User Feedback. ISAIM (2024)
Omer Ben-Porat, Yishay Mansour, Michal Moshkovitz, Boaz Taitler
Principal-Agent Reward Shaping in MDPs. AAAI (2024)
Liad Erez, Alon Cohen, Tomer Koren, Yishay Mansour, Shay Moran
The Real Price of Bandit Information in Multiclass Classification. CoRR (2024)
Nave Frost, Zachary C. Lipton, Yishay Mansour, Michal Moshkovitz
Partially Interpretable Models with Guarantees on Coverage and Accuracy. ALT (2024)
Marek Eliás, Haim Kaplan, Yishay Mansour, Shay Moran
Learning-Augmented Algorithms with Explicit Predictors. CoRR (2024)
Christoph Dann, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan
Rate-Preserving Reductions for Blackwell Approachability. CoRR (2024)
Christoph Dann, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan
Pseudonorm Approachability and Applications to Regret Minimization. ALT (2023)
Orin Levy, Alon Cohen, Asaf B. Cassel, Yishay Mansour
Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation. CoRR (2023)
Haim Kaplan, Yishay Mansour, Shay Moran, Kobbi Nissim, Uri Stemmer
On Differentially Private Online Predictions. CoRR (2023)
Uri Sherman, Tomer Koren, Yishay Mansour
Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation. CoRR (2023)
Nataly Brukhim, Amit Daniely, Yishay Mansour, Shay Moran
Multiclass Boosting: Simple and Intuitive Weak Learning Criteria. NeurIPS (2023)
Yishay Mansour, Richard Nock, Robert C. Williamson
Random Classification Noise does not defeat All Convex Potential Boosters Irrespective of Model Choice. ICML (2023)
Yogev Bar-On, Yishay Mansour
Optimal Publishing Strategies on a Base Layer. CoRR (2023)
Haim Kaplan, Yishay Mansour, Shay Moran, Kobbi Nissim, Uri Stemmer
Black-Box Differential Privacy for Interactive ML. NeurIPS (2023)
Liad Erez, Tal Lancewicki, Uri Sherman, Tomer Koren, Yishay Mansour
Regret Minimization and Convergence to Equilibria in General-sum Markov Games. ICML (2023)
Orin Levy, Alon Cohen, Asaf B. Cassel, Yishay Mansour
Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation. ICML (2023)
Eitan-Hai Mashiah, Idan Attias, Yishay Mansour
Learning Revenue Maximization Using Posted Prices for Stochastic Strategic Patient Buyers. AAAI (2023)
Yogev Bar-On, Yishay Mansour
Uniswap Liquidity Provision: An Online Learning Approach. FC Workshops (2023)
Christoph Dann, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan
Pseudonorm Approachability and Applications to Regret Minimization. CoRR (2023)
Han Shao, Lee Cohen, Avrim Blum, Yishay Mansour, Aadirupa Saha, Matthew R. Walter
Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback. CoRR (2023)
Orin Levy, Yishay Mansour
Optimism in Face of a Context: Regret Guarantees for Stochastic Contextual MDP. AAAI (2023)
Jay Tenenbaum, Haim Kaplan, Yishay Mansour, Uri Stemmer
Concurrent Shuffle Differential Privacy Under Continual Observation. CoRR (2023)
Jay Tenenbaum, Haim Kaplan, Yishay Mansour, Uri Stemmer
Concurrent Shuffle Differential Privacy Under Continual Observation. ICML (2023)
Lee Cohen, Yishay Mansour, Michal Moshkovitz
Finding Safe Zones of Markov Decision Processes Policies. NeurIPS (2023)
Aadirupa Saha, Vitaly Feldman, Tomer Koren, Yishay Mansour
Faster Convergence with Multiway Preferences. CoRR (2023)
Christoph Dann, Yishay Mansour, Mehryar Mohri
Reinforcement Learning Can Be More Efficient with Multiple Rewards. ICML (2023)
Dana Azouri, Oz Granit, Michael Alburquerque, Yishay Mansour, Tal Pupko, Itay Mayrose
The tree reconstruction game: phylogenetic reconstruction using reinforcement learning. CoRR (2023)
Uri Sherman, Tomer Koren, Yishay Mansour
Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation. ICML (2023)
Uri Sherman, Alon Cohen, Tomer Koren, Yishay Mansour
Rate-Optimal Policy Optimization for Linear Markov Decision Processes. CoRR (2023)
Yogev Bar-On, Yishay Mansour
Uniswap Liquidity Provision: An Online Learning Approach. CoRR (2023)
Han Shao, Lee Cohen, Avrim Blum, Yishay Mansour, Aadirupa Saha, Matthew R. Walter
Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback. NeurIPS (2023)
Nataly Brukhim, Amit Daniely, Yishay Mansour, Shay Moran
Multiclass Boosting: Simple and Intuitive Weak Learning Criteria. CoRR (2023)
Eitan-Hai Mashiah, Idan Attias, Yishay Mansour
Stochastic Strategic Patient Buyers: Revenue maximization using posted prices. CoRR (2022)
Olivier Bousquet, Haim Kaplan, Aryeh Kontorovich, Yishay Mansour, Shay Moran, Menachem Sadigurschi, Uri Stemmer
Differentially-Private Bayes Consistency. CoRR (2022)
Tal Lancewicki, Aviv Rosenberg, Yishay Mansour
Learning Adversarial Markov Decision Processes with Delayed Feedback. AAAI (2022)
Olivier Bousquet, Amit Daniely, Haim Kaplan, Yishay Mansour, Shay Moran, Uri Stemmer
Monotone Learning. COLT (2022)
Liad Erez, Tal Lancewicki, Uri Sherman, Tomer Koren, Yishay Mansour
Regret Minimization and Convergence to Equilibria in General-sum Markov Games. CoRR (2022)
Alexander Soen, Ibrahim M. Alabdulmohsin, Sanmi Koyejo, Yishay Mansour, Nyalleng Moorosi, Richard Nock, Ke Sun, Lexing Xie
Fair Wrapping for Black-box Predictions. NeurIPS (2022)
Christoph Dann, Yishay Mansour, Mehryar Mohri, Ayush Sekhari, Karthik Sridharan
Guarantees for Epsilon-Greedy Reinforcement Learning with Function Approximation. CoRR (2022)
Olivier Bousquet, Amit Daniely, Haim Kaplan, Yishay Mansour, Shay Moran, Uri Stemmer
Monotone Learning. CoRR (2022)
Tomer Koren, Roi Livni, Yishay Mansour, Uri Sherman
Benign Underfitting of Stochastic Gradient Descent. CoRR (2022)
Christoph Dann, Yishay Mansour, Mehryar Mohri, Ayush Sekhari, Karthik Sridharan
Guarantees for Epsilon-Greedy Reinforcement Learning with Function Approximation. ICML (2022)
Idan Attias, Aryeh Kontorovich, Yishay Mansour
Improved Generalization Bounds for Adversarially Robust Learning. J. Mach. Learn. Res. 23 (2022)
Omer Ben-Porat, Lee Cohen, Liu Leqi, Zachary C. Lipton, Yishay Mansour
Modeling Attrition in Recommender Systems with Departing Bandits. AAAI (2022)
Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer
Differentially Private Learning of Geometric Concepts. SIAM J. Comput. 51 (4) (2022)
Amos Beimel, Haim Kaplan, Yishay Mansour, Kobbi Nissim, Thatchaphol Saranurak, Uri Stemmer
Dynamic algorithms against an adaptive adversary: generic constructions and lower bounds. STOC (2022)
Orin Levy, Yishay Mansour
Optimism in Face of a Context: Regret Guarantees for Stochastic Contextual MDP. CoRR (2022)
Shant Boodaghians, Federico Fusco, Stefano Leonardi, Yishay Mansour, Ruta Mehta
Online revenue maximization for server pricing. Auton. Agents Multi Agent Syst. 36 (1) (2022)
Omer Ben-Porat, Lee Cohen, Liu Leqi, Zachary C. Lipton, Yishay Mansour
Modeling Attrition in Recommender Systems with Departing Bandits. CoRR (2022)
Tal Lancewicki, Aviv Rosenberg, Yishay Mansour
Cooperative Online Learning in Stochastic and Adversarial MDPs. ICML (2022)
Orin Levy, Asaf B. Cassel, Alon Cohen, Yishay Mansour
Counterfactual Optimism: Rate Optimal Regret for Stochastic Contextual MDPs. CoRR (2022)
Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer
Adversarially Robust Streaming Algorithms via Differential Privacy. J. ACM 69 (6) (2022)
Eliad Tsfadia, Edith Cohen, Haim Kaplan, Yishay Mansour, Uri Stemmer
FriendlyCore: Practical Differentially Private Aggregation. ICML (2022)
Tomer Koren, Roi Livni, Yishay Mansour, Uri Sherman
Benign Underfitting of Stochastic Gradient Descent. NeurIPS (2022)
Alexander Soen, Ibrahim Alabdulmohsin, Sanmi Koyejo, Yishay Mansour, Nyalleng Moorosi, Richard Nock, Ke Sun, Lexing Xie
Fair Wrapping for Black-box Predictions. CoRR (2022)
Tiancheng Jin, Tal Lancewicki, Haipeng Luo, Yishay Mansour, Aviv Rosenberg
Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback. CoRR (2022)
Idan Attias, Steve Hanneke, Yishay Mansour
A Characterization of Semi-Supervised Adversarially-Robust PAC Learnability. CoRR (2022)
Yishay Mansour, Michal Moshkovitz, Cynthia Rudin
There is no Accuracy-Interpretability Tradeoff in Reinforcement Learning for Mazes. CoRR (2022)
Yishay Mansour, Richard Nock, Robert C. Williamson
What killed the Convex Booster ? CoRR (2022)
Idan Attias, Steve Hanneke, Yishay Mansour
A Characterization of Semi-Supervised Adversarially Robust PAC Learnability. NeurIPS (2022)
Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan
Strategizing against Learners in Bayesian Games. COLT (2022)
Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan
Strategizing against Learners in Bayesian Games. CoRR (2022)
Tiancheng Jin, Tal Lancewicki, Haipeng Luo, Yishay Mansour, Aviv Rosenberg
Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback. NeurIPS (2022)
Orin Levy, Yishay Mansour
Learning Efficiently Function Approximation for Contextual MDP. CoRR (2022)
Tal Lancewicki, Aviv Rosenberg, Yishay Mansour
Cooperative Online Learning in Stochastic and Adversarial MDPs. CoRR (2022)
Aadirupa Saha, Tomer Koren, Yishay Mansour
Dueling Convex Optimization with General Preferences. CoRR (2022)
Lee Cohen, Yishay Mansour, Michal Moshkovitz
Finding Safe Zones of policies Markov Decision Processes. CoRR (2022)
Yishay Mansour, Alex Slivkins, Vasilis Syrgkanis, Zhiwei Steven Wu
Bayesian Exploration: Incentivizing Exploration in Bayesian Games. Oper. Res. 70 (2) (2022)
Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, Claudio Gentile, Yishay Mansour
Nonstochastic Bandits with Composite Anonymous Feedback. J. Mach. Learn. Res. 23 (2022)
Haim Kaplan, Yishay Mansour, Kobbi Nissim, Uri Stemmer
Separating Adaptive Streaming from Oblivious Streaming Using the Bounded Storage Model. CRYPTO (3) (2021)
Alon Cohen, Haim Kaplan, Tomer Koren, Yishay Mansour
Online Markov Decision Processes with Aggregate Bandit Feedback. CoRR (2021)
Haim Kaplan, Yishay Mansour, Uri Stemmer
The Sparse Vector Technique, Revisited. COLT (2021)
Lee Cohen, Ulrike Schmidt-Kraepelin, Yishay Mansour
Dueling Bandits with Team Comparisons. CoRR (2021)
Amos Beimel, Haim Kaplan, Yishay Mansour, Kobbi Nissim, Thatchaphol Saranurak, Uri Stemmer
Dynamic Algorithms Against an Adaptive Adversary: Generic Constructions and Lower Bounds. CoRR (2021)
Nir Andelman, Michal Feldman, Amos Fiat, Yishay Mansour
Competitive Equilibria with Unequal Budgets: Supporting Arbitrary Pareto Optimal Allocations. CoRR (2021)
Haim Kaplan, Yishay Mansour, Kobbi Nissim, Uri Stemmer
Separating Adaptive Streaming from Oblivious Streaming. CoRR (2021)
Christoph Dann, Yishay Mansour, Mehryar Mohri, Ayush Sekhari, Karthik Sridharan
Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations. CoRR (2021)
Jay Tenenbaum, Haim Kaplan, Yishay Mansour, Uri Stemmer
Differentially Private Multi-Armed Bandits in the Shuffle Model. NeurIPS (2021)
Alon Cohen, Yonathan Efroni, Yishay Mansour, Aviv Rosenberg
Minimax Regret for Stochastic Shortest Path. NeurIPS (2021)
Lee Cohen, Ulrike Schmidt-Kraepelin, Yishay Mansour
Dueling Bandits with Team Comparisons. NeurIPS (2021)
Aviv Rosenberg, Yishay Mansour
Stochastic Shortest Path with Adversarially Changing Costs. IJCAI (2021)
Alon Cohen, Haim Kaplan, Tomer Koren, Yishay Mansour
Online Markov Decision Processes with Aggregate Bandit Feedback. COLT (2021)
Aadirupa Saha, Tomer Koren, Yishay Mansour
Dueling Convex Optimization. ICML (2021)
Eliad Tsfadia, Edith Cohen, Haim Kaplan, Yishay Mansour, Uri Stemmer
FriendlyCore: Practical Differentially Private Aggregation. CoRR (2021)
Ayush Sekhari, Christoph Dann, Mehryar Mohri, Yishay Mansour, Karthik Sridharan
Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations. NeurIPS (2021)
Alon Cohen, Yonathan Efroni, Yishay Mansour, Aviv Rosenberg
Minimax Regret for Stochastic Shortest Path. CoRR (2021)
Uri Sherman, Tomer Koren, Yishay Mansour
Optimal Rates for Random Order Online Optimization. CoRR (2021)
Aviv Rosenberg, Yishay Mansour
Oracle-Efficient Regret Minimization in Factored MDPs with Unknown Structure. NeurIPS (2021)
Tal Lancewicki, Shahar Segal, Tomer Koren, Yishay Mansour
Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions. ICML (2021)

Yishay Mansour

Publication Activity (10 Years)

Top Topics

Top Venues