Yishay Mansour

613 papers A* 214A 25B 30Misc 3Journal 289Unranked 51

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	Bayesian Perspective on Memorization and Reconstruction. ITCS Haim Kaplan, Yishay Mansour, Kobbi Nissim, Uri Stemmer
2026	J	`jnl`	Learning Conditional Averages. CoRR Marco Bressan, Nataly Brukhim, Nicolò Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, Maximilian Thiessen
2026	J	`jnl`	Near-Optimal Regret for Policy Optimization in Contextual MDPs with General Offline Function Approximation. CoRR Orin Levy, Aviv Rosenberg, Alon Cohen, Yishay Mansour
2026	J	`jnl`	Online Learning in MDPs with Partially Adversarial Transitions and Losses. CoRR Ofir Schlisselberg, Tal Lancewicki, Yishay Mansour
2026	J	`jnl`	Optimal Regret for Policy Optimization in Contextual Bandits. CoRR Orin Levy, Yishay Mansour
2026	J	`jnl`	Provable Cooperative Multi-Agent Exploration for Reward-Free MDPs. CoRR Idan Barnea, Orin Levy, Yishay Mansour
2026	J	`jnl`	Robust Temporal Guarantees in Budgeted Sequential Auctions. CoRR Giannis Fikioris, Robert Kleinberg, Yoav Kolumbus, Yishay Mansour, Éva Tardos
2026	J	`jnl`	Stochastic Linear Bandits with Parameter Noise. CoRR Daniel Ezer, Alon Peled-Cohen, Yishay Mansour
2025	A*	`conf`	A Fine-grained Characterization of PAC Learnability. COLT Marco Bressan, Nataly Brukhim, Nicolò Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, Maximilian Thiessen
2025	A*	`conf`	Batch Ensemble for Variance Dependent Regret in Stochastic Bandits. AAAI Asaf B. Cassel, Orin Levy, Yishay Mansour
2025	J	`jnl`	Bayesian Perspective on Memorization and Reconstruction. CoRR Haim Kaplan, Yishay Mansour, Kobbi Nissim, Uri Stemmer
2025	J	`jnl`	Competing Bandits: The Perils of Exploration Under Competition. ACM Trans. Economics and Comput. Guy Aridor, Yishay Mansour, Aleksandrs Slivkins, Steven Wu
2025	J	`jnl`	Convergence and Sample Complexity of First-Order Methods for Agnostic Reinforcement Learning. CoRR Uri Sherman, Tomer Koren, Yishay Mansour
2025	A*	`conf`	Convergence of Policy Mirror Descent Beyond Compatible Function Approximation. ICML Uri Sherman, Tomer Koren, Yishay Mansour
2025	J	`jnl`	Convergence of Policy Mirror Descent Beyond Compatible Function Approximation. CoRR Uri Sherman, Tomer Koren, Yishay Mansour
2025	A	`conf`	Data Reconstruction: When You See It and When You Don't. ITCS Edith Cohen, Haim Kaplan, Yishay Mansour, Shay Moran, Kobbi Nissim, Uri Stemmer, Eliad Tsfadia
2025	A*	`conf`	Delay as Payoff in MAB. AAAI Ofir Schlisselberg, Ido Cohen, Tal Lancewicki, Yishay Mansour
2025	A*	`conf`	Dueling Convex Optimization with General Preferences. ICML Aadirupa Saha, Tomer Koren, Yishay Mansour
2025	J	`jnl`	Fast Inference via Hierarchical Speculative Decoding. CoRR Clara Mohri, Haim Kaplan, Tal Schuster, Yishay Mansour, Amir Globerson
2025	J	`jnl`	Improved Best-of-Both-Worlds Regret for Bandits with Delayed Feedback. CoRR Ofir Schlisselberg, Tal Lancewicki, Peter Auer, Yishay Mansour
2025	A*	`conf`	Learning in Budgeted Auctions with Spacing Objectives. EC Giannis Fikioris, Robert Kleinberg, Yoav Kolumbus, Raunak Kumar, Yishay Mansour, Éva Tardos
2025	A*	`conf`	Near-optimal Regret Using Policy Optimization in Online MDPs with Aggregate Bandit Feedback. ICML Tal Lancewicki, Yishay Mansour
2025	J	`jnl`	Near-optimal Regret Using Policy Optimization in Online MDPs with Aggregate Bandit Feedback. CoRR Tal Lancewicki, Yishay Mansour
2025	B	`conf`	Non-stochastic Bandits With Evolving Observations. ALT Yogev Bar-On, Yishay Mansour
2025	A*	`conf`	Of Dice and Games: A Theory of Generalized Boosting. COLT Marco Bressan, Nataly Brukhim, Nicolò Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, Maximilian Thiessen
2025	A*	`conf`	On Differentially Private Linear Algebra. STOC Haim Kaplan, Yishay Mansour, Shay Moran, Uri Stemmer, Nitzan Tur
2025	A*	`conf`	Rate-Preserving Reductions for Blackwell Approachability. COLT Christoph Dann, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan
2025	J	`jnl`	Regret Bounds for Adversarial Contextual Bandits with General Function Approximation and Delayed Feedback. CoRR Orin Levy, Liad Erez, Alon Cohen, Yishay Mansour
2025	J	`jnl`	Rising Rested MAB with Linear Drift. CoRR Omer Amichay, Yishay Mansour
2025	J	`jnl`	Sample Complexity of Agnostic Multiclass Classification: Natarajan Dimension Strikes Back. CoRR Alon Cohen, Liad Erez, Steve Hanneke, Tomer Koren, Yishay Mansour, Shay Moran, Qian Zhang
2025	A*	`conf`	Swap Regret and Correlated Equilibria Beyond Normal-Form Games. EC Eshwar Ram Arunachaleswaran, Natalie Collina, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan
2025	J	`jnl`	Swap Regret and Correlated Equilibria Beyond Normal-Form Games. CoRR Eshwar Ram Arunachaleswaran, Natalie Collina, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan
2025	J	`jnl`	The Hidden Cost of Approximation in Online Mirror Descent. CoRR Ofir Schlisselberg, Uri Sherman, Tomer Koren, Yishay Mansour
2024	A*	`conf`	A Theory of Interpretable Approximations. COLT Marco Bressan, Nicolò Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, Maximilian Thiessen
2024	J	`jnl`	A Theory of Interpretable Approximations. CoRR Marco Bressan, Nicolò Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, Maximilian Thiessen
2024	Misc	`conf`	A Theory of Learning with Competing Objectives and User Feedback. ISAIM Pranjal Awasthi, Corinna Cortes, Yishay Mansour, Mehryar Mohri
2024	J	`jnl`	A machine-learning-based alternative to phylogenetic bootstrap. Bioinform. Noa Ecker, Dorothée Huchon, Yishay Mansour, Itay Mayrose, Tal Pupko
2024	J	`jnl`	Batch Ensemble for Variance Dependent Regret in Stochastic Bandits. CoRR Asaf B. Cassel, Orin Levy, Yishay Mansour
2024	J	`jnl`	Data Reconstruction: When You See It and When You Don't. CoRR Edith Cohen, Haim Kaplan, Yishay Mansour, Shay Moran, Kobbi Nissim, Uri Stemmer, Eliad Tsfadia
2024	J	`jnl`	Delay as Payoff in MAB. CoRR Ofir Schlisselberg, Ido Cohen, Tal Lancewicki, Yishay Mansour
2024	A*	`conf`	Eluder-based Regret for Stochastic Contextual MDPs. ICML Orin Levy, Asaf B. Cassel, Alon Cohen, Yishay Mansour
2024	A*	`conf`	Fast Rates for Bandit PAC Multiclass Classification. NeurIPS Liad Erez, Alon Peled-Cohen, Tomer Koren, Yishay Mansour, Shay Moran
2024	J	`jnl`	Fast Rates for Bandit PAC Multiclass Classification. CoRR Liad Erez, Alon Cohen, Tomer Koren, Yishay Mansour, Shay Moran
2024	A	`conf`	Faster Convergence with MultiWay Preferences. AISTATS Aadirupa Saha, Vitaly Feldman, Yishay Mansour, Tomer Koren
2024	A*	`conf`	How to Boost Any Loss Function. NeurIPS Richard Nock, Yishay Mansour
2024	J	`jnl`	How to Boost Any Loss Function. CoRR Richard Nock, Yishay Mansour
2024	J	`jnl`	Individual Regret in Cooperative Stochastic Multi-Armed Bandits. CoRR Idan Barnea, Tal Lancewicki, Yishay Mansour
2024	A*	`conf`	Learnability Gaps of Strategic Classification. COLT Lee Cohen, Yishay Mansour, Shay Moran, Han Shao
2024	J	`jnl`	Learnability Gaps of Strategic Classification. CoRR Lee Cohen, Yishay Mansour, Shay Moran, Han Shao
2024	J	`jnl`	Learning in Budgeted Auctions with Spacing Objectives. CoRR Giannis Fikioris, Robert Kleinberg, Yoav Kolumbus, Raunak Kumar, Yishay Mansour, Éva Tardos
2024	A*	`conf`	Learning-Augmented Algorithms with Explicit Predictors. NeurIPS Marek Eliás, Haim Kaplan, Yishay Mansour, Shay Moran
2024	J	`jnl`	Learning-Augmented Algorithms with Explicit Predictors. CoRR Marek Eliás, Haim Kaplan, Yishay Mansour, Shay Moran
2024	J	`jnl`	Non-stochastic Bandits With Evolving Observations. CoRR Yogev Bar-On, Yishay Mansour
2024	J	`jnl`	Of Dice and Games: A Theory of Generalized Boosting. CoRR Marco Bressan, Nataly Brukhim, Nicolò Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, Maximilian Thiessen
2024	J	`jnl`	On Differentially Private Linear Algebra. CoRR Haim Kaplan, Yishay Mansour, Shay Moran, Uri Stemmer, Nitzan Tur
2024	—	`conf`	Optimal Publishing Strategies on a Base Layer. FC (1) Yogev Bar-On, Yishay Mansour
2024	B	`conf`	Partially Interpretable Models with Guarantees on Coverage and Accuracy. ALT Nave Frost, Zachary C. Lipton, Yishay Mansour, Michal Moshkovitz
2024	A*	`conf`	Principal-Agent Reward Shaping in MDPs. AAAI Omer Ben-Porat, Yishay Mansour, Michal Moshkovitz, Boaz Taitler
2024	J	`jnl`	Principal-Agent Reward Shaping in MDPs. CoRR Omer Ben-Porat, Yishay Mansour, Michal Moshkovitz, Boaz Taitler
2024	J	`jnl`	Probably Approximately Precision and Recall Learning. CoRR Lee Cohen, Yishay Mansour, Shay Moran, Han Shao
2024	A*	`conf`	Rate-Optimal Policy Optimization for Linear Markov Decision Processes. ICML Uri Sherman, Alon Cohen, Tomer Koren, Yishay Mansour
2024	J	`jnl`	Rate-Preserving Reductions for Blackwell Approachability. CoRR Christoph Dann, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan
2024	A*	`conf`	The Real Price of Bandit Information in Multiclass Classification. COLT Liad Erez, Alon Cohen, Tomer Koren, Yishay Mansour, Shay Moran
2024	J	`jnl`	The Real Price of Bandit Information in Multiclass Classification. CoRR Liad Erez, Alon Cohen, Tomer Koren, Yishay Mansour, Shay Moran
2023	A*	`conf`	Black-Box Differential Privacy for Interactive ML. NeurIPS Haim Kaplan, Yishay Mansour, Shay Moran, Kobbi Nissim, Uri Stemmer
2023	A*	`conf`	Concurrent Shuffle Differential Privacy Under Continual Observation. ICML Jay Tenenbaum, Haim Kaplan, Yishay Mansour, Uri Stemmer
2023	J	`jnl`	Concurrent Shuffle Differential Privacy Under Continual Observation. CoRR Jay Tenenbaum, Haim Kaplan, Yishay Mansour, Uri Stemmer
2023	A*	`conf`	Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation. ICML Orin Levy, Alon Cohen, Asaf B. Cassel, Yishay Mansour
2023	J	`jnl`	Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation. CoRR Orin Levy, Alon Cohen, Asaf B. Cassel, Yishay Mansour
2023	A*	`conf`	Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback. NeurIPS Han Shao, Lee Cohen, Avrim Blum, Yishay Mansour, Aadirupa Saha, Matthew R. Walter
2023	J	`jnl`	Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback. CoRR Han Shao, Lee Cohen, Avrim Blum, Yishay Mansour, Aadirupa Saha, Matthew R. Walter
2023	J	`jnl`	Faster Convergence with Multiway Preferences. CoRR Aadirupa Saha, Vitaly Feldman, Tomer Koren, Yishay Mansour
2023	A*	`conf`	Finding Safe Zones of Markov Decision Processes Policies. NeurIPS Lee Cohen, Yishay Mansour, Michal Moshkovitz
2023	A*	`conf`	Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation. ICML Uri Sherman, Tomer Koren, Yishay Mansour
2023	J	`jnl`	Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation. CoRR Uri Sherman, Tomer Koren, Yishay Mansour
2023	A*	`conf`	Learning Revenue Maximization Using Posted Prices for Stochastic Strategic Patient Buyers. AAAI Eitan-Hai Mashiah, Idan Attias, Yishay Mansour
2023	A*	`conf`	Multiclass Boosting: Simple and Intuitive Weak Learning Criteria. NeurIPS Nataly Brukhim, Amit Daniely, Yishay Mansour, Shay Moran
2023	J	`jnl`	Multiclass Boosting: Simple and Intuitive Weak Learning Criteria. CoRR Nataly Brukhim, Amit Daniely, Yishay Mansour, Shay Moran
2023	J	`jnl`	On Differentially Private Online Predictions. CoRR Haim Kaplan, Yishay Mansour, Shay Moran, Kobbi Nissim, Uri Stemmer
2023	J	`jnl`	Optimal Publishing Strategies on a Base Layer. CoRR Yogev Bar-On, Yishay Mansour
2023	A*	`conf`	Optimism in Face of a Context: Regret Guarantees for Stochastic Contextual MDP. AAAI Orin Levy, Yishay Mansour
2023	B	`conf`	Pseudonorm Approachability and Applications to Regret Minimization. ALT Christoph Dann, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan
2023	J	`jnl`	Pseudonorm Approachability and Applications to Regret Minimization. CoRR Christoph Dann, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan
2023	A*	`conf`	Random Classification Noise does not defeat All Convex Potential Boosters Irrespective of Model Choice. ICML Yishay Mansour, Richard Nock, Robert C. Williamson
2023	J	`jnl`	Rate-Optimal Policy Optimization for Linear Markov Decision Processes. CoRR Uri Sherman, Alon Cohen, Tomer Koren, Yishay Mansour
2023	A*	`conf`	Regret Minimization and Convergence to Equilibria in General-sum Markov Games. ICML Liad Erez, Tal Lancewicki, Uri Sherman, Tomer Koren, Yishay Mansour
2023	A*	`conf`	Reinforcement Learning Can Be More Efficient with Multiple Rewards. ICML Christoph Dann, Yishay Mansour, Mehryar Mohri
2023	J	`jnl`	The tree reconstruction game: phylogenetic reconstruction using reinforcement learning. CoRR Dana Azouri, Oz Granit, Michael Alburquerque, Yishay Mansour, Tal Pupko, Itay Mayrose
2023	—	`conf`	Uniswap Liquidity Provision: An Online Learning Approach. FC Workshops Yogev Bar-On, Yishay Mansour
2023	J	`jnl`	Uniswap Liquidity Provision: An Online Learning Approach. CoRR Yogev Bar-On, Yishay Mansour
2022	A*	`conf`	A Characterization of Semi-Supervised Adversarially Robust PAC Learnability. NeurIPS Idan Attias, Steve Hanneke, Yishay Mansour
2022	J	`jnl`	A Characterization of Semi-Supervised Adversarially-Robust PAC Learnability. CoRR Idan Attias, Steve Hanneke, Yishay Mansour
2022	J	`jnl`	A LASSO-based approach to sample sites for phylogenetic tree search. Bioinform. Noa Ecker, Dana Azouri, Ben Bettisworth, Alexandros Stamatakis, Yishay Mansour, Itay Mayrose, Tal Pupko
2022	J	`jnl`	Adversarially Robust Streaming Algorithms via Differential Privacy. J. ACM Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer
2022	J	`jnl`	Bayesian Exploration: Incentivizing Exploration in Bayesian Games. Oper. Res. Yishay Mansour, Alex Slivkins, Vasilis Syrgkanis, Zhiwei Steven Wu
2022	A*	`conf`	Benign Underfitting of Stochastic Gradient Descent. NeurIPS Tomer Koren, Roi Livni, Yishay Mansour, Uri Sherman
2022	J	`jnl`	Benign Underfitting of Stochastic Gradient Descent. CoRR Tomer Koren, Roi Livni, Yishay Mansour, Uri Sherman
2022	A*	`conf`	Cooperative Online Learning in Stochastic and Adversarial MDPs. ICML Tal Lancewicki, Aviv Rosenberg, Yishay Mansour
2022	J	`jnl`	Cooperative Online Learning in Stochastic and Adversarial MDPs. CoRR Tal Lancewicki, Aviv Rosenberg, Yishay Mansour
2022	J	`jnl`	Counterfactual Optimism: Rate Optimal Regret for Stochastic Contextual MDPs. CoRR Orin Levy, Asaf B. Cassel, Alon Cohen, Yishay Mansour
2022	J	`jnl`	Differentially Private Learning of Geometric Concepts. SIAM J. Comput. Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer
2022	J	`jnl`	Differentially-Private Bayes Consistency. CoRR Olivier Bousquet, Haim Kaplan, Aryeh Kontorovich, Yishay Mansour, Shay Moran, Menachem Sadigurschi, Uri Stemmer
2022	J	`jnl`	Dueling Convex Optimization with General Preferences. CoRR Aadirupa Saha, Tomer Koren, Yishay Mansour
2022	A*	`conf`	Dynamic algorithms against an adaptive adversary: generic constructions and lower bounds. STOC Amos Beimel, Haim Kaplan, Yishay Mansour, Kobbi Nissim, Thatchaphol Saranurak, Uri Stemmer
2022	A*	`conf`	Fair Wrapping for Black-box Predictions. NeurIPS Alexander Soen, Ibrahim M. Alabdulmohsin, Sanmi Koyejo, Yishay Mansour, Nyalleng Moorosi, Richard Nock, Ke Sun, Lexing Xie
2022	J	`jnl`	Fair Wrapping for Black-box Predictions. CoRR Alexander Soen, Ibrahim Alabdulmohsin, Sanmi Koyejo, Yishay Mansour, Nyalleng Moorosi, Richard Nock, Ke Sun, Lexing Xie
2022	J	`jnl`	Finding Safe Zones of policies Markov Decision Processes. CoRR Lee Cohen, Yishay Mansour, Michal Moshkovitz
2022	A*	`conf`	FriendlyCore: Practical Differentially Private Aggregation. ICML Eliad Tsfadia, Edith Cohen, Haim Kaplan, Yishay Mansour, Uri Stemmer
2022	A*	`conf`	Guarantees for Epsilon-Greedy Reinforcement Learning with Function Approximation. ICML Christoph Dann, Yishay Mansour, Mehryar Mohri, Ayush Sekhari, Karthik Sridharan
2022	J	`jnl`	Guarantees for Epsilon-Greedy Reinforcement Learning with Function Approximation. CoRR Christoph Dann, Yishay Mansour, Mehryar Mohri, Ayush Sekhari, Karthik Sridharan
2022	J	`jnl`	Improved Generalization Bounds for Adversarially Robust Learning. J. Mach. Learn. Res. Idan Attias, Aryeh Kontorovich, Yishay Mansour
2022	A*	`conf`	Learning Adversarial Markov Decision Processes with Delayed Feedback. AAAI Tal Lancewicki, Aviv Rosenberg, Yishay Mansour
2022	J	`jnl`	Learning Efficiently Function Approximation for Contextual MDP. CoRR Orin Levy, Yishay Mansour
2022	A*	`conf`	Modeling Attrition in Recommender Systems with Departing Bandits. AAAI Omer Ben-Porat, Lee Cohen, Liu Leqi, Zachary C. Lipton, Yishay Mansour
2022	J	`jnl`	Modeling Attrition in Recommender Systems with Departing Bandits. CoRR Omer Ben-Porat, Lee Cohen, Liu Leqi, Zachary C. Lipton, Yishay Mansour
2022	A*	`conf`	Monotone Learning. COLT Olivier Bousquet, Amit Daniely, Haim Kaplan, Yishay Mansour, Shay Moran, Uri Stemmer
2022	J	`jnl`	Monotone Learning. CoRR Olivier Bousquet, Amit Daniely, Haim Kaplan, Yishay Mansour, Shay Moran, Uri Stemmer
2022	A*	`conf`	Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback. NeurIPS Tiancheng Jin, Tal Lancewicki, Haipeng Luo, Yishay Mansour, Aviv Rosenberg
2022	J	`jnl`	Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback. CoRR Tiancheng Jin, Tal Lancewicki, Haipeng Luo, Yishay Mansour, Aviv Rosenberg
2022	J	`jnl`	Nonstochastic Bandits with Composite Anonymous Feedback. J. Mach. Learn. Res. Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, Claudio Gentile, Yishay Mansour
2022	J	`jnl`	Online revenue maximization for server pricing. Auton. Agents Multi Agent Syst. Shant Boodaghians, Federico Fusco, Stefano Leonardi, Yishay Mansour, Ruta Mehta
2022	J	`jnl`	Optimism in Face of a Context: Regret Guarantees for Stochastic Contextual MDP. CoRR Orin Levy, Yishay Mansour
2022	J	`jnl`	Regret Minimization and Convergence to Equilibria in General-sum Markov Games. CoRR Liad Erez, Tal Lancewicki, Uri Sherman, Tomer Koren, Yishay Mansour
2022	J	`jnl`	Stochastic Strategic Patient Buyers: Revenue maximization using posted prices. CoRR Eitan-Hai Mashiah, Idan Attias, Yishay Mansour
2022	A*	`conf`	Strategizing against Learners in Bayesian Games. COLT Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan
2022	J	`jnl`	Strategizing against Learners in Bayesian Games. CoRR Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan
2022	J	`jnl`	There is no Accuracy-Interpretability Tradeoff in Reinforcement Learning for Mazes. CoRR Yishay Mansour, Michal Moshkovitz, Cynthia Rudin
2022	J	`jnl`	What killed the Convex Booster ? CoRR Yishay Mansour, Richard Nock, Robert C. Williamson
2021	A*	`conf`	A New Theoretical Framework for Fast and Accurate Online Decision-Making. NeurIPS Nicolò Cesa-Bianchi, Tommaso Cesari, Yishay Mansour, Vianney Perchet
2021	A	`conf`	A Theory of Multiple-Source Adaptation with Limited Target Labeled Data. AISTATS Yishay Mansour, Mehryar Mohri, Jae Ro, Ananda Theertha Suresh, Ke Wu
2021	A*	`conf`	Adversarial Dueling Bandits. ICML Aadirupa Saha, Tomer Koren, Yishay Mansour
2021	A*	`conf`	Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations. NeurIPS Ayush Sekhari, Christoph Dann, Mehryar Mohri, Yishay Mansour, Karthik Sridharan
2021	J	`jnl`	Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations. CoRR Christoph Dann, Yishay Mansour, Mehryar Mohri, Ayush Sekhari, Karthik Sridharan
2021	J	`jnl`	Competitive Equilibria with Unequal Budgets: Supporting Arbitrary Pareto Optimal Allocations. CoRR Nir Andelman, Michal Feldman, Amos Fiat, Yishay Mansour
2021	A*	`conf`	Differentially Private Multi-Armed Bandits in the Shuffle Model. NeurIPS Jay Tenenbaum, Haim Kaplan, Yishay Mansour, Uri Stemmer
2021	J	`jnl`	Differentially Private Multi-Armed Bandits in the Shuffle Model. CoRR Jay Tenenbaum, Haim Kaplan, Yishay Mansour, Uri Stemmer
2021	A*	`conf`	Differentially-Private Clustering of Easy Instances. ICML Edith Cohen, Haim Kaplan, Yishay Mansour, Uri Stemmer, Eliad Tsfadia
2021	J	`jnl`	Differentially-Private Clustering of Easy Instances. CoRR Edith Cohen, Haim Kaplan, Yishay Mansour, Uri Stemmer, Eliad Tsfadia
2021	A*	`conf`	Dueling Bandits with Team Comparisons. NeurIPS Lee Cohen, Ulrike Schmidt-Kraepelin, Yishay Mansour
2021	J	`jnl`	Dueling Bandits with Team Comparisons. CoRR Lee Cohen, Ulrike Schmidt-Kraepelin, Yishay Mansour
2021	A*	`conf`	Dueling Convex Optimization. ICML Aadirupa Saha, Tomer Koren, Yishay Mansour
2021	J	`jnl`	Dynamic Algorithms Against an Adaptive Adversary: Generic Constructions and Lower Bounds. CoRR Amos Beimel, Haim Kaplan, Yishay Mansour, Kobbi Nissim, Thatchaphol Saranurak, Uri Stemmer
2021	J	`jnl`	FriendlyCore: Practical Differentially Private Aggregation. CoRR Eliad Tsfadia, Edith Cohen, Haim Kaplan, Yishay Mansour, Uri Stemmer
2021	A*	`conf`	Minimax Regret for Stochastic Shortest Path. NeurIPS Alon Cohen, Yonathan Efroni, Yishay Mansour, Aviv Rosenberg
2021	J	`jnl`	Minimax Regret for Stochastic Shortest Path. CoRR Alon Cohen, Yonathan Efroni, Yishay Mansour, Aviv Rosenberg
2021	J	`jnl`	Nonstochastic Bandits with Composite Anonymous Feedback. CoRR Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, Claudio Gentile, Yishay Mansour
2021	A*	`conf`	Online Markov Decision Processes with Aggregate Bandit Feedback. COLT Alon Cohen, Haim Kaplan, Tomer Koren, Yishay Mansour
2021	J	`jnl`	Online Markov Decision Processes with Aggregate Bandit Feedback. CoRR Alon Cohen, Haim Kaplan, Tomer Koren, Yishay Mansour
2021	A*	`conf`	Optimal Rates for Random Order Online Optimization. NeurIPS Uri Sherman, Tomer Koren, Yishay Mansour
2021	J	`jnl`	Optimal Rates for Random Order Online Optimization. CoRR Uri Sherman, Tomer Koren, Yishay Mansour
2021	A*	`conf`	Oracle-Efficient Regret Minimization in Factored MDPs with Unknown Structure. NeurIPS Aviv Rosenberg, Yishay Mansour
2021	—	`conf`	Separating Adaptive Streaming from Oblivious Streaming Using the Bounded Storage Model. CRYPTO (3) Haim Kaplan, Yishay Mansour, Kobbi Nissim, Uri Stemmer
2021	J	`jnl`	Separating Adaptive Streaming from Oblivious Streaming. CoRR Haim Kaplan, Yishay Mansour, Kobbi Nissim, Uri Stemmer
2021	A*	`conf`	Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions. ICML Tal Lancewicki, Shahar Segal, Tomer Koren, Yishay Mansour
2021	J	`jnl`	Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions. CoRR Tal Lancewicki, Shahar Segal, Tomer Koren, Yishay Mansour
2021	A*	`conf`	Stochastic Shortest Path with Adversarially Changing Costs. IJCAI Aviv Rosenberg, Yishay Mansour
2021	A*	`conf`	The Sparse Vector Technique, Revisited. COLT Haim Kaplan, Yishay Mansour, Uri Stemmer
2020	J	`jnl`	A Theory of Multiple-Source Adaptation with Limited Target Labeled Data. CoRR Yishay Mansour, Mehryar Mohri, Ananda Theertha Suresh, Ke Wu
2020	J	`jnl`	Adversarial Dueling Bandits. CoRR Aadirupa Saha, Tomer Koren, Yishay Mansour
2020	J	`jnl`	Adversarial Stochastic Shortest Path. CoRR Aviv Rosenberg, Yishay Mansour
2020	A*	`conf`	Adversarially Robust Streaming Algorithms via Differential Privacy. NeurIPS Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer
2020	J	`jnl`	Adversarially Robust Streaming Algorithms via Differential Privacy. CoRR Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer
2020	A*	`conf`	Apprenticeship Learning via Frank-Wolfe. AAAI Tom Zahavy, Alon Cohen, Haim Kaplan, Yishay Mansour
2020	J	`jnl`	Bayesian Incentive-Compatible Bandit Exploration. Oper. Res. Yishay Mansour, Aleksandrs Slivkins, Vasilis Syrgkanis
2020	J	`jnl`	Beyond Individual and Group Fairness. CoRR Pranjal Awasthi, Corinna Cortes, Yishay Mansour, Mehryar Mohri
2020	J	`jnl`	Competing Bandits: The Perils of Exploration Under Competition. CoRR Guy Aridor, Yishay Mansour, Aleksandrs Slivkins, Zhiwei Steven Wu
2020	A*	`conf`	Designing Committees for Mitigating Biases. AAAI Michal Feldman, Yishay Mansour, Noam Nisan, Sigal Oren, Moshe Tennenholtz
2020	J	`jnl`	Detecting malicious PDF using CNN. CoRR Raphael Fettaya, Yishay Mansour
2020	—	`conf`	Efficient Candidate Screening Under Multiple Tests and Implications for Fairness. FORC Lee Cohen, Zachary C. Lipton, Yishay Mansour
2020	J	`jnl`	Kidney exchange and endless paths: On the optimal use of an altruistic donor. CoRR Avrim Blum, Yishay Mansour
2020	J	`jnl`	Learning Adversarial Markov Decision Processes with Delayed Feedback. CoRR Tal Lancewicki, Aviv Rosenberg, Yishay Mansour
2020	A*	`conf`	Near-optimal Regret Bounds for Stochastic Shortest Path. ICML Aviv Rosenberg, Alon Cohen, Yishay Mansour, Haim Kaplan
2020	J	`jnl`	Near-optimal Regret Bounds for Stochastic Shortest Path. CoRR Alon Cohen, Haim Kaplan, Yishay Mansour, Aviv Rosenberg
2020	A*	`conf`	Online Revenue Maximization for Server Pricing. IJCAI Shant Boodaghians, Federico Fusco, Stefano Leonardi, Yishay Mansour, Ruta Mehta
2020	J	`jnl`	Oracle-Efficient Reinforcement Learning in Factored MDPs with Unknown Structure. CoRR Aviv Rosenberg, Yishay Mansour
2020	B	`conf`	Planning in Hierarchical Reinforcement Learning: Guarantees for Using Local Policies. ALT Tom Zahavy, Avinatan Hassidim, Haim Kaplan, Yishay Mansour
2020	A*	`conf`	Prediction with Corrupted Expert Advice. NeurIPS Idan Amir, Idan Attias, Tomer Koren, Yishay Mansour, Roi Livni
2020	J	`jnl`	Prediction with Corrupted Expert Advice. CoRR Idan Amir, Idan Attias, Tomer Koren, Roi Livni, Yishay Mansour
2020	A*	`conf`	Private Learning of Halfspaces: Simplifying the Construction and Reducing the Sample Complexity. NeurIPS Haim Kaplan, Yishay Mansour, Uri Stemmer, Eliad Tsfadia
2020	J	`jnl`	Private Learning of Halfspaces: Simplifying the Construction and Reducing the Sample Complexity. CoRR Haim Kaplan, Yishay Mansour, Uri Stemmer, Eliad Tsfadia
2020	A*	`conf`	Privately Learning Thresholds: Closing the Exponential Gap. COLT Haim Kaplan, Katrina Ligett, Yishay Mansour, Moni Naor, Uri Stemmer
2020	A*	`conf`	Reinforcement Learning with Feedback Graphs. NeurIPS Christoph Dann, Yishay Mansour, Mehryar Mohri, Ayush Sekhari, Karthik Sridharan
2020	J	`jnl`	Reinforcement Learning with Feedback Graphs. CoRR Christoph Dann, Yishay Mansour, Mehryar Mohri, Ayush Sekhari, Karthik Sridharan
2020	A*	`conf`	Sample Complexity of Uniform Convergence for Multicalibration. NeurIPS Eliran Shabat, Lee Cohen, Yishay Mansour
2020	J	`jnl`	Sample Complexity of Uniform Convergence for Multicalibration. CoRR Eliran Shabat, Lee Cohen, Yishay Mansour
2020	J	`jnl`	The Sparse Vector Technique, Revisited. CoRR Haim Kaplan, Yishay Mansour, Uri Stemmer
2020	B	`conf`	Thompson Sampling for Adversarial Bit Prediction. ALT Yuval Lewi, Haim Kaplan, Yishay Mansour
2020	J	`jnl`	Three Approaches for Personalization with Applications to Federated Learning. CoRR Yishay Mansour, Mehryar Mohri, Jae Ro, Ananda Theertha Suresh
2020	B	`conf`	Top- ALT Idan Rejwan, Yishay Mansour
2020	A	`conf`	Unknown mixing times in apprenticeship and reinforcement learning. UAI Tom Zahavy, Alon Cohen, Haim Kaplan, Yishay Mansour
2019	A*	`conf`	Adversarial Online Learning with noise. ICML Alon Resler, Yishay Mansour
2019	J	`jnl`	Apprenticeship Learning via Frank-Wolfe. CoRR Tom Zahavy, Alon Cohen, Haim Kaplan, Yishay Mansour
2019	J	`jnl`	Average reward reinforcement learning with unknown mixing times. CoRR Tom Zahavy, Alon Cohen, Haim Kaplan, Yishay Mansour
2019	J	`jnl`	Beyond myopic best response (in Cournot competition). Games Econ. Behav. Amos Fiat, Elias Koutsoupias, Katrina Ligett, Yishay Mansour, Svetlana Olonetsky
2019	J	`jnl`	Combinatorial Bandits with Full-Bandit Feedback: Sample Complexity and Regret Minimization. CoRR Idan Rejwan, Yishay Mansour
2019	J	`jnl`	Competitive ratio versus regret minimization: achieving the best of both worlds. CoRR Amit Daniely, Yishay Mansour
2019	B	`conf`	Competitive ratio vs regret minimization: achieving the best of both worlds. ALT Amit Daniely, Yishay Mansour
2019	J	`jnl`	Delay and Cooperation in Nonstochastic Bandits. J. Mach. Learn. Res. Nicolò Cesa-Bianchi, Claudio Gentile, Yishay Mansour
2019	A*	`conf`	Differentially Private Learning of Geometric Concepts. ICML Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer
2019	J	`jnl`	Differentially Private Learning of Geometric Concepts. CoRR Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer
2019	J	`jnl`	Dynamics of Evolving Social Groups. ACM Trans. Economics and Comput. Noga Alon, Michal Feldman, Yishay Mansour, Sigal Oren, Moshe Tennenholtz
2019	J	`jnl`	Efficient candidate screening under multiple tests and implications for fairness. CoRR Lee Cohen, Zachary C. Lipton, Yishay Mansour
2019	A*	`conf`	Graph-based Discriminators: Sample Complexity and Expressiveness. NeurIPS Roi Livni, Yishay Mansour
2019	J	`jnl`	Graph-based Discriminators: Sample Complexity and Expressiveness. CoRR Roi Livni, Yishay Mansour
2019	B	`conf`	Improved Generalization Bounds for Robust Learning. ALT Idan Attias, Aryeh Kontorovich, Yishay Mansour
2019	A*	`conf`	Individual Regret in Cooperative Nonstochastic Multi-Armed Bandits. NeurIPS Yogev Bar-On, Yishay Mansour
2019	J	`jnl`	Individual Regret in Cooperative Nonstochastic Multi-Armed Bandits. CoRR Yogev Bar-On, Yishay Mansour
2019	J	`jnl`	Learning Linear-Quadratic Regulators Efficiently with only $\sqrt{T}$ Regret. CoRR Alon Cohen, Tomer Koren, Yishay Mansour
2019	A*	`conf`	Learning Linear-Quadratic Regulators Efficiently with only √T Regret. ICML Alon Cohen, Tomer Koren, Yishay Mansour
2019	J	`jnl`	Learning and Generalization for Matching Problems. CoRR Alon Cohen, Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Shay Moran
2019	A*	`conf`	Learning to Screen. NeurIPS Alon Cohen, Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Shay Moran
2019	A*	`conf`	Online Convex Optimization in Adversarial Markov Decision Processes. ICML Aviv Rosenberg, Yishay Mansour
2019	J	`jnl`	Online Convex Optimization in Adversarial Markov Decision Processes. CoRR Aviv Rosenberg, Yishay Mansour
2019	J	`jnl`	Online Revenue Maximization for Server Pricing. CoRR Shant Boodaghians, Federico Fusco, Stefano Leonardi, Yishay Mansour, Ruta Mehta
2019	A*	`conf`	Online Stochastic Shortest Path with Bandit Feedback and Unknown Transition Function. NeurIPS Aviv Rosenberg, Yishay Mansour
2019	A*	`conf`	Optimal Algorithm for Bayesian Incentive-Compatible Exploration. EC Lee Cohen, Yishay Mansour
2019	J	`jnl`	Planning in Hierarchical Reinforcement Learning: Guarantees for Using Local Policies. CoRR Tom Zahavy, Avinatan Hassidim, Haim Kaplan, Yishay Mansour
2019	J	`jnl`	Privately Learning Thresholds: Closing the Exponential Gap. CoRR Haim Kaplan, Katrina Ligett, Yishay Mansour, Moni Naor, Uri Stemmer
2019	J	`jnl`	Repeated A/B Testing. CoRR Nicolò Cesa-Bianchi, Tommaso Cesari, Yishay Mansour, Vianney Perchet
2019	J	`jnl`	The Role of A-priori Information in Networks of Rational Agents. CoRR Yehuda Afek, Yishay Mansour, Shaked Rafaeli, Moshe Sulamy
2019	J	`jnl`	Thompson Sampling for Adversarial Bit Prediction. CoRR Yuval Lewi, Haim Kaplan, Yishay Mansour
2018	J	`jnl`	Adversarial Online Learning with noise. CoRR Alon Resler, Yishay Mansour
2018	J	`jnl`	Are All Experts Equally Good? A Study of Analyst Earnings Estimates. CoRR Amir Ban, Yishay Mansour
2018	A*	`conf`	Are Two (Samples) Really Better Than One? EC Moshe Babaioff, Yannai A. Gonczarowski, Yishay Mansour, Shay Moran
2018	J	`jnl`	Are Two (Samples) Really Better Than One? On the Non-Asymptotic Performance of Empirical Revenue Maximization. CoRR Moshe Babaioff, Yannai A. Gonczarowski, Yishay Mansour, Shay Moran
2018	A	`conf`	Competing Bandits: Learning Under Competition. ITCS Yishay Mansour, Aleksandrs Slivkins, Zhiwei Steven Wu
2018	J	`jnl`	Constant-Time Local Computation Algorithms. Theory Comput. Syst. Yishay Mansour, Boaz Patt-Shamir, Shai Vardi
2018	A	`conf`	Discriminative Learning of Prediction Intervals. AISTATS Nir Rosenfeld, Yishay Mansour, Elad Yom-Tov
2018	A*	`conf`	Fair Leader Election for Rational Agents in Asynchronous Rings and Networks. PODC Assaf Yifrach, Yishay Mansour
2018	J	`jnl`	Fair Leader Election for Rational Agents in Asynchronous Rings and Networks. CoRR Assaf Yifrach, Yishay Mansour
2018	J	`jnl`	Flow Equilibria via Online Surge Pricing. CoRR Amos Fiat, Yishay Mansour, Lior Shultz
2018	J	`jnl`	Hierarchical Reinforcement Learning: Approximating Optimal Discounted TSP Using Local Policies. CoRR Tom Zahavy, Avinatan Hassidim, Haim Kaplan, Yishay Mansour
2018	J	`jnl`	Improved generalization bounds for robust learning. CoRR Idan Attias, Aryeh Kontorovich, Yishay Mansour
2018	B	`conf`	Learning Decision Trees with Stochastic Linear Classifiers. ALT Tom Jurgenson, Yishay Mansour
2018	J	`jnl`	Learning What's Going on: Reconstructing Preferences and Priorities from Opaque Transactions. ACM Trans. Economics and Comput. Avrim Blum, Yishay Mansour, Jamie Morgenstern
2018	J	`jnl`	Making the Most of Your Samples. SIAM J. Comput. Zhiyi Huang, Yishay Mansour, Tim Roughgarden
2018	A*	`conf`	Nonstochastic Bandits with Composite Anonymous Feedback. COLT Nicolò Cesa-Bianchi, Claudio Gentile, Yishay Mansour
2018	A	`conf`	On Price versus Quality. ITCS Avrim Blum, Yishay Mansour
2018	A*	`conf`	Online Linear Quadratic Control. ICML Alon Cohen, Avinatan Hassidim, Tomer Koren, Nevena Lazic, Yishay Mansour, Kunal Talwar
2018	J	`jnl`	Online Linear Quadratic Control. CoRR Alon Cohen, Avinatan Hassidim, Tomer Koren, Nevena Lazic, Yishay Mansour, Kunal Talwar
2018	J	`jnl`	Optimal Algorithm for Bayesian Incentive-Compatible. CoRR Lee Cohen, Yishay Mansour
2018	A*	`conf`	Planning and Learning with Stochastic Action Sets. IJCAI Craig Boutilier, Alon Cohen, Avinatan Hassidim, Yishay Mansour, Ofer Meshi, Martin Mladenov, Dale Schuurmans
2018	J	`jnl`	Planning and Learning with Stochastic Action Sets. CoRR Craig Boutilier, Alon Cohen, Amit Daniely, Avinatan Hassidim, Yishay Mansour, Ofer Meshi, Martin Mladenov, Dale Schuurmans
2018	B	`conf`	Robust Inference for Multiclass Classification. ALT Uriel Feige, Yishay Mansour, Robert E. Schapire
2018	B	`conf`	Sublinear Graph Augmentation for Fast Query Implementation. WAOA Artur Czumaj, Yishay Mansour, Shai Vardi
2017	Misc	`conf`	A User Re-Modeling Approach to Item Recommendation using Complex Usage Data. ICTIR Oren Sar Shalom, Haggai Roitman, Yishay Mansour, Amihood Amir
2017	J	`jnl`	Automatic Representation for Lifetime Value Recommender Systems. CoRR Assaf Hallak, Yishay Mansour, Elad Yom-Tov
2017	A*	`conf`	Bandits with Movement Costs and Adaptive Pricing. COLT Tomer Koren, Roi Livni, Yishay Mansour
2017	J	`jnl`	Bandits with Movement Costs and Adaptive Pricing. CoRR Tomer Koren, Roi Livni, Yishay Mansour
2017	J	`jnl`	Competing Bandits: Learning under Competition. CoRR Yishay Mansour, Aleksandrs Slivkins, Zhiwei Steven Wu
2017	J	`jnl`	Discriminative Learning of Prediction Intervals. CoRR Nir Rosenfeld, Yishay Mansour, Elad Yom-Tov
2017	—	`conf`	ERA: A Framework for Economic Resource Allocation for the Cloud. WWW (Companion Volume) Moshe Babaioff, Yishay Mansour, Noam Nisan, Gali Noti, Carlo Curino, Nar Ganapathy, Ishai Menache, Omer Reingold, Moshe Tennenholtz, Erez Timnat
2017	J	`jnl`	ERA: A Framework for Economic Resource Allocation for the Cloud. CoRR Moshe Babaioff, Yishay Mansour, Noam Nisan, Gali Noti, Carlo Curino, Nar Ganapathy, Ishai Menache, Omer Reingold, Moshe Tennenholtz, Erez Timnat
2017	A*	`conf`	Efficient Co-Training of Linear Separators under Weak Dependence. COLT Avrim Blum, Yishay Mansour
2017	A*	`conf`	Efficient PAC Learning from the Crowd. COLT Pranjal Awasthi, Avrim Blum, Nika Haghtalab, Yishay Mansour
2017	J	`jnl`	Efficient PAC Learning from the Crowd. CoRR Pranjal Awasthi, Avrim Blum, Nika Haghtalab, Yishay Mansour
2017	J	`jnl`	Game Theory Meets Computational Learning Theory (Dagstuhl Seminar 17251). Dagstuhl Reports Paul W. Goldberg, Yishay Mansour, Paul Dütting
2017	A*	`conf`	Label Efficient Learning by Exploiting Multi-Class Output Codes. AAAI Maria-Florina Balcan, Travis Dick, Yishay Mansour
2017	—	`conf`	Multi-Armed Bandits with Metric Movement Costs. NIPS Tomer Koren, Roi Livni, Yishay Mansour
2017	J	`jnl`	Multi-Armed Bandits with Metric Movement Costs. CoRR Tomer Koren, Roi Livni, Yishay Mansour
2017	J	`jnl`	Nonstochastic Multi-Armed Bandits with Graph-Structured Feedback. SIAM J. Comput. Noga Alon, Nicolò Cesa-Bianchi, Claudio Gentile, Shie Mannor, Yishay Mansour, Ohad Shamir
2017	—	`conf`	Predicting Counterfactuals from Large Historical Data and Small Randomized Trials. WWW (Companion Volume) Nir Rosenfeld, Yishay Mansour, Elad Yom-Tov
2017	J	`jnl`	Scheduling multipacket frames with frame deadlines. J. Sched. Lukasz Jez, Yishay Mansour, Boaz Patt-Shamir
2017	—	`conf`	Submultiplicative Glivenko-Cantelli and Uniform Convergence of Revenues. NIPS Noga Alon, Moshe Babaioff, Yannai A. Gonczarowski, Yishay Mansour, Shay Moran, Amir Yehudayoff
2017	J	`jnl`	Submultiplicative Glivenko-Cantelli and Uniform Convergence of Revenues. CoRR Noga Alon, Moshe Babaioff, Yannai A. Gonczarowski, Yishay Mansour, Shay Moran, Amir Yehudayoff
2017	—	`conf`	The Strategy of Experts for Repeated Predictions. WINE Amir Ban, Yossi Azar, Yishay Mansour
2017	J	`jnl`	The Strategy of Experts for Repeated Predictions. CoRR Amir Ban, Yossi Azar, Yishay Mansour
2017	J	`jnl`	Upward Max-Min Fairness. J. ACM Emilie Danna, Avinatan Hassidim, Haim Kaplan, Alok Kumar, Yishay Mansour, Danny Raz, Michal Segalov
2016	A*	`conf`	Bayesian Exploration: Incentivizing Exploration in Bayesian Games. EC Yishay Mansour, Aleksandrs Slivkins, Vasilis Syrgkanis, Zhiwei Steven Wu
2016	J	`jnl`	Bayesian Exploration: Incentivizing Exploration in Bayesian Games. CoRR Yishay Mansour, Aleksandrs Slivkins, Vasilis Syrgkanis, Zhiwei Steven Wu
2016	A*	`conf`	Delay and Cooperation in Nonstochastic Bandits. COLT Nicolò Cesa-Bianchi, Claudio Gentile, Yishay Mansour, Alberto Minora
2016	J	`jnl`	Delay and Cooperation in Nonstochastic Bandits. CoRR Nicolò Cesa-Bianchi, Claudio Gentile, Yishay Mansour, Alberto Minora
2016	A*	`conf`	Dynamics of Evolving Social Groups. EC Noga Alon, Michal Feldman, Yishay Mansour, Sigal Oren, Moshe Tennenholtz
2016	J	`jnl`	Dynamics of Evolving Social Groups. CoRR Noga Alon, Michal Feldman, Yishay Mansour, Sigal Oren, Moshe Tennenholtz
2016	B	`conf`	History-Independent Distributed Multi-agent Learning. SAGT Amos Fiat, Yishay Mansour, Mariano Schain
2016	J	`jnl`	Local Computation Mechanism Design. ACM Trans. Economics and Comput. Avinatan Hassidim, Yishay Mansour, Shai Vardi
2016	J	`jnl`	Lower bounds on individual sequence regret. Mach. Learn. Eyal Gofer, Yishay Mansour
2016	A*	`conf`	Online Learning with Low Rank Experts. COLT Elad Hazan, Tomer Koren, Roi Livni, Yishay Mansour
2016	J	`jnl`	Online Learning with Low Rank Experts. CoRR Elad Hazan, Tomer Koren, Roi Livni, Yishay Mansour
2016	—	`conf`	Online Pricing with Strategic and Patient Buyers. NIPS Michal Feldman, Tomer Koren, Roi Livni, Yishay Mansour, Aviv Zohar
2016	J	`jnl`	Predicting Counterfactuals from Large Historical Data and Small Randomized Trials. CoRR Nir Rosenfeld, Yishay Mansour, Elad Yom-Tov
2016	A*	`ed.`	Proceedings of the 48th Annual ACM SIGACT Symposium on Theory of Computing, STOC 2016, Cambridge, MA, USA, June 18-21, 2016 STOC Daniel Wichs, Yishay Mansour
2016	J	`jnl`	Robust option pricing: Hannan and Blackwell meet Black and Scholes. J. Econ. Theory Peter M. DeMarzo, Ilan Kremer, Yishay Mansour
2016	J	`jnl`	The AND-OR Game. ACM Trans. Economics and Comput. Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Noam Nisan
2016	A*	`conf`	When Should an Expert Make a Prediction? EC Yossi Azar, Amir Ban, Yishay Mansour
2016	J	`jnl`	When should an expert make a prediction? CoRR Amir Ban, Yossi Azar, Yishay Mansour
2015	A*	`conf`	Bayesian Incentive-Compatible Bandit Exploration. EC Yishay Mansour, Aleksandrs Slivkins, Vasilis Syrgkanis
2015	J	`jnl`	Bayesian Incentive-Compatible Bandit Exploration. CoRR Yishay Mansour, Aleksandrs Slivkins, Vasilis Syrgkanis
2015	A*	`conf`	Classification with Low Rank and Missing Data. ICML Elad Hazan, Roi Livni, Yishay Mansour
2015	J	`jnl`	Classification with Low Rank and Missing Data. CoRR Elad Hazan, Roi Livni, Yishay Mansour
2015	B	`conf`	Constant-Time Local Computation Algorithms. WAOA Yishay Mansour, Boaz Patt-Shamir, Shai Vardi
2015	A*	`conf`	Learning Valuation Distributions from Partial Observation. AAAI Avrim Blum, Yishay Mansour, Jamie Morgenstern
2015	A*	`conf`	Learning What's Going on: Reconstructing Preferences and Priorities from Opaque Transactions. EC Avrim Blum, Yishay Mansour, Jamie Morgenstern
2015	A*	`conf`	Learning and inference in the presence of corrupted inputs. COLT Uriel Feige, Yishay Mansour, Robert E. Schapire
2015	A*	`conf`	Making the Most of Your Samples. EC Zhiyi Huang, Yishay Mansour, Tim Roughgarden
2015	A*	`conf`	On the Complexity of Learning with Kernels. COLT Nicolò Cesa-Bianchi, Yishay Mansour, Ohad Shamir
2015	J	`jnl`	On the geometry of output-code multi-class learning. CoRR Maria-Florina Balcan, Travis Dick, Yishay Mansour
2015	—	`conf`	Online Allocation and Pricing with Economies of Scale. WINE Avrim Blum, Yishay Mansour, Liu Yang
2015	J	`jnl`	Optimistic-Conservative Bidding in Sequential Auctions. CoRR Avinatan Hassidim, Yishay Mansour
2015	J	`jnl`	Regret Minimization for Reserve Prices in Second-Price Auctions. IEEE Trans. Inf. Theory Nicolò Cesa-Bianchi, Claudio Gentile, Yishay Mansour
2015	—	`conf`	Robust Inference and Local Algorithms. MFCS (1) Yishay Mansour
2015	A*	`conf`	Robust Probabilistic Inference. SODA Yishay Mansour, Aviad Rubinstein, Moshe Tennenholtz
2015	B	`conf`	Scheduling Multipacket Frames with Frame Deadlines. SIROCCO Lukasz Jez, Yishay Mansour, Boaz Patt-Shamir
2014	J	`jnl`	Competitive router scheduling with structured data. Theor. Comput. Sci. Yishay Mansour, Boaz Patt-Shamir, Dror Rawitz
2014	J	`jnl`	Learning Valuation Distributions from Partial Observation. CoRR Avrim Blum, Yishay Mansour, Jamie Morgenstern
2014	J	`jnl`	Learning What's going on: reconstructing preferences and priorities from opaque transactions. CoRR Avrim Blum, Yishay Mansour, Jamie Morgenstern
2014	A*	`conf`	Local computation mechanism design. EC Avinatan Hassidim, Yishay Mansour, Shai Vardi
2014	J	`jnl`	Making the Most of Your Samples. CoRR Zhiyi Huang, Yishay Mansour, Tim Roughgarden
2014	J	`jnl`	Nonstochastic Multi-Armed Bandits with Graph-Structured Feedback. CoRR Noga Alon, Nicolò Cesa-Bianchi, Claudio Gentile, Shie Mannor, Yishay Mansour, Ohad Shamir
2014	J	`jnl`	On Nash Equilibria for a Network Creation Game. ACM Trans. Economics and Comput. Susanne Albers, Stefan Eilts, Eyal Even-Dar, Yishay Mansour, Liam Roditty
2014	J	`jnl`	On the Complexity of Learning with Kernels. CoRR Nicolò Cesa-Bianchi, Yishay Mansour, Ohad Shamir
2014	J	`jnl`	Probe scheduling for efficient detection of silent failures. Perform. Evaluation Edith Cohen, Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Danny Raz, Yoav Tzur
2014	J	`jnl`	Repeated Budgeted Second Price Ad Auction. Theory Comput. Syst. Asaph Arnon, Yishay Mansour
2014	J	`jnl`	Robust domain adaptation. Ann. Math. Artif. Intell. Yishay Mansour, Mariano Schain
2014	A*	`conf`	Thompson Sampling for Complex Online Problems. ICML Aditya Gopalan, Shie Mannor, Yishay Mansour
2013	—	`conf`	A Local Computation Approximation Scheme to Maximum Matching. APPROX-RANDOM Yishay Mansour, Shai Vardi
2013	J	`jnl`	A Local Computation Approximation Scheme to Maximum Matching. CoRR Yishay Mansour, Shai Vardi
2013	J	`jnl`	An Information-Theoretic Analysis of Hard and Soft Assignment Methods for Clustering CoRR Michael J. Kearns, Yishay Mansour, Andrew Y. Ng
2013	A	`conf`	An empirical study of trading agent robustness. AAMAS Shai Hertz, Mariano Schain, Yishay Mansour
2013	J	`jnl`	Circumventing the Price of Anarchy: Leading Dynamics to Good Behavior. SIAM J. Comput. Maria-Florina Balcan, Avrim Blum, Yishay Mansour
2013	A*	`conf`	Differential pricing with inequity aversion in social networks. EC Noga Alon, Yishay Mansour, Moshe Tennenholtz
2013	J	`jnl`	Efficient Nash Computation in Large Population Games with Bounded Influence CoRR Michael J. Kearns, Yishay Mansour
2013	J	`jnl`	Electronic Markets and Auctions (Dagstuhl Seminar 13461). Dagstuhl Reports Yishay Mansour, Benny Moldovanu, Noam Nisan, Berthold Vöcking
2013	J	`jnl`	Exact Inference of Hidden Structure from Sample Data in Noisy-OR Networks CoRR Michael J. Kearns, Yishay Mansour
2013	—	`conf`	Exploiting Ontology Structures and Unlabeled Data for Learning. ICML (3) Nina Balcan, Avrim Blum, Yishay Mansour
2013	J	`jnl`	Fast Planning in Stochastic Games CoRR Michael J. Kearns, Yishay Mansour, Satinder Singh
2013	—	`conf`	From Bandits to Experts: A Tale of Domination and Independence. NIPS Noga Alon, Nicolò Cesa-Bianchi, Claudio Gentile, Yishay Mansour
2013	J	`jnl`	From Bandits to Experts: A Tale of Domination and Independence. CoRR Noga Alon, Nicolò Cesa-Bianchi, Claudio Gentile, Yishay Mansour
2013	A*	`conf`	Implementing the "Wisdom of the Crowd". EC Ilan Kremer, Yishay Mansour, Motty Perry
2013	J	`jnl`	Local computation mechanism design. CoRR Avinatan Hassidim, Yishay Mansour, Shai Vardi
2013	J	`jnl`	Nash Convergence of Gradient Dynamics in Iterated General-Sum Games CoRR Satinder Singh, Michael J. Kearns, Yishay Mansour
2013	J	`jnl`	On the Complexity of Policy Iteration CoRR Yishay Mansour, Satinder Singh
2013	J	`jnl`	Probe Scheduling for Efficient Detection of Silent Failures CoRR Edith Cohen, Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Danny Raz, Yoav Tzur
2013	A*	`conf`	Regret Minimization for Branching Experts. COLT Eyal Gofer, Nicolò Cesa-Bianchi, Claudio Gentile, Yishay Mansour
2013	A*	`conf`	Regret Minimization for Reserve Prices in Second-Price Auctions. SODA Nicolò Cesa-Bianchi, Claudio Gentile, Yishay Mansour
2013	—	`conf`	Scheduling Subset Tests: One-Time, Continuous, and How They Relate. APPROX-RANDOM Edith Cohen, Haim Kaplan, Yishay Mansour
2013	J	`jnl`	The Price of Uncertainty. ACM Trans. Economics and Comput. Maria-Florina Balcan, Avrim Blum, Yishay Mansour
2013	J	`jnl`	Thompson Sampling for Complex Bandit Problems. CoRR Aditya Gopalan, Shie Mannor, Yishay Mansour
2012	—	`conf`	A Model-Free Approach for a TAC-AA Trading Agent. AMEC/TADA Mariano Schain, Shai Hertz, Yishay Mansour
2012	—	`conf`	Ad Exchange - Proposal for a New Trading Agent Competition Game. AMEC/TADA Mariano Schain, Yishay Mansour
2012	A*	`conf`	Beyond myopic best response (in Cournot competition). SODA Amos Fiat, Elias Koutsoupias, Katrina Ligett, Yishay Mansour, Svetlana Olonetsky
2012	—	`conf`	Converting Online Algorithms to Local Computation Algorithms. ICALP (1) Yishay Mansour, Aviad Rubinstein, Shai Vardi, Ning Xie
2012	J	`jnl`	Converting online algorithms to local computation algorithms CoRR Yishay Mansour, Aviad Rubinstein, Shai Vardi, Ning Xie
2012	J	`jnl`	Distributed Learning, Communication Complexity and Privacy CoRR Maria-Florina Balcan, Avrim Blum, Shai Fine, Yishay Mansour
2012	A*	`conf`	Distributed Learning, Communication Complexity and Privacy. COLT Maria-Florina Balcan, Avrim Blum, Shai Fine, Yishay Mansour
2012	J	`jnl`	Doubleclick Ad Exchange Auction CoRR Yishay Mansour, S. Muthukrishnan, Noam Nisan
2012	—	`conf`	Learning Multiple Tasks using Shared Hypotheses. NIPS Koby Crammer, Yishay Mansour
2012	B	`conf`	Lower Bounds on Individual Sequence Regret. ALT Eyal Gofer, Yishay Mansour
2012	J	`jnl`	Multiple Source Adaptation and the Renyi Divergence CoRR Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh
2012	J	`jnl`	Online Set Packing. SIAM J. Comput. Yuval Emek, Magnús M. Halldórsson, Yishay Mansour, Boaz Patt-Shamir, Jaikumar Radhakrishnan, Dror Rawitz
2012	J	`jnl`	Overflow management with multipart packets. Comput. Networks Yishay Mansour, Boaz Patt-Shamir, Dror Rawitz
2012	J	`jnl`	Planning in POMDPs Using Multiplicity Automata CoRR Eyal Even-Dar, Sham M. Kakade, Yishay Mansour
2012	J	`jnl`	Reliable agnostic learning. J. Comput. Syst. Sci. Adam Tauman Kalai, Varun Kanade, Yishay Mansour
2012	Misc	`conf`	Robust Domain Adaptation. ISAIM Yishay Mansour, Mariano Schain
2012	—	`conf`	Strictly-Black-Box Zero-Knowledge and Efficient Validation of Financial Transactions. ICALP (1) Michael O. Rabin, Yishay Mansour, S. Muthukrishnan, Moti Yung
2012	—	`conf`	The AND-OR Game: Equilibrium Characterization - (Working Paper). WINE Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Noam Nisan
2012	J	`jnl`	The AND-OR game: Equilibrium Characterization (Working Paper) CoRR Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Noam Nisan
2012	J	`jnl`	The load-distance balancing problem. Networks Edward Bortnikov, Samir Khuller, Jian Li, Yishay Mansour, Joseph Naor
2012	A*	`conf`	Upward Max Min Fairness. INFOCOM Emilie Danna, Avinatan Hassidim, Haim Kaplan, Alok Kumar, Yishay Mansour, Danny Raz, Michal Segalov
2011	B	`conf`	Competitive Router Scheduling with Structured Data. WAOA Yishay Mansour, Boaz Patt-Shamir, Dror Rawitz
2011	J	`jnl`	Non-Price Equilibria in Markets of Discrete Goods CoRR Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Noam Nisan
2011	A*	`conf`	Non-price equilibria in markets of discrete goods. EC Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Noam Nisan
2011	A*	`conf`	Overflow management with multipart packets. INFOCOM Yishay Mansour, Boaz Patt-Shamir, Dror Rawitz
2011	B	`conf`	Pricing Exotic Derivatives Using Regret Minimization. SAGT Eyal Gofer, Yishay Mansour
2011	B	`conf`	Regret Minimization Algorithms for Pricing Lookback Options. ALT Eyal Gofer, Yishay Mansour
2011	B	`conf`	Repeated Budgeted Second Price Ad Auction. SAGT Asaph Arnon, Yishay Mansour
2011	J	`jnl`	Welfare and Profit Maximization with Production Costs CoRR Avrim Blum, Anupam Gupta, Yishay Mansour, Ankit Sharma
2011	A*	`conf`	Welfare and Profit Maximization with Production Costs. FOCS Avrim Blum, Anupam Gupta, Yishay Mansour, Ankit Sharma
2010	J	`jnl`	Approximation Schemes for Sequential Posted Pricing in Multi-Unit Auctions CoRR Tanmoy Chakraborty, Eyal Even-Dar, Sudipto Guha, Yishay Mansour, S. Muthukrishnan
2010	—	`conf`	Approximation Schemes for Sequential Posted Pricing in Multi-unit Auctions. WINE Tanmoy Chakraborty, Eyal Even-Dar, Sudipto Guha, Yishay Mansour, S. Muthukrishnan
2010	A	`conf`	Circumventing the Price of Anarchy: Leading Dynamics to Good Behavior. ICS Maria-Florina Balcan, Avrim Blum, Yishay Mansour
2010	J	`jnl`	How long to equilibrium? The communication complexity of uncoupled equilibrium procedures. Games Econ. Behav. Sergiu Hart, Yishay Mansour
2010	—	`conf`	Learning Bounds for Importance Weighting. NIPS Corinna Cortes, Yishay Mansour, Mehryar Mohri
2010	A*	`conf`	Learning with Global Cost in Stochastic Environments. COLT Eyal Even-Dar, Shie Mannor, Yishay Mansour
2010	A*	`conf`	On the Equilibria of Alternating Move Games. SODA Aaron Roth, Maria-Florina Balcan, Adam Kalai, Yishay Mansour
2010	A*	`conf`	Online set packing and competitive scheduling of multi-part tasks. PODC Yuval Emek, Magnús M. Halldórsson, Yishay Mansour, Boaz Patt-Shamir, Jaikumar Radhakrishnan, Dror Rawitz
2010	A*	`conf`	Regret Minimization With Concept Drift. COLT Koby Crammer, Yishay Mansour, Eyal Even-Dar, Jennifer Wortman Vaughan
2010	B	`conf`	Regret Minimization and Job Scheduling. SOFSEM Yishay Mansour
2010	J	`jnl`	Selective Call Out and Real Time Bidding CoRR Tanmoy Chakraborty, Eyal Even-Dar, Sudipto Guha, Yishay Mansour, S. Muthukrishnan
2010	—	`conf`	Selective Call Out and Real Time Bidding. WINE Tanmoy Chakraborty, Eyal Even-Dar, Sudipto Guha, Yishay Mansour, S. Muthukrishnan
2009	J	`jnl`	Bid Optimization in Broad-Match Ad Auctions CoRR Eyal Even-Dar, Yishay Mansour, Vahab S. Mirrokni, S. Muthukrishnan, Uri Nadav
2009	A*	`conf`	Bid optimization for broad match ad auctions. WWW Eyal Even-Dar, Vahab S. Mirrokni, S. Muthukrishnan, Yishay Mansour, Uri Nadav
2009	J	`jnl`	Domain Adaptation: Learning Bounds and Algorithms CoRR Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh
2009	A*	`conf`	Domain Adaptation: Learning Bounds and Algorithms. COLT Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh
2009	J	`jnl`	Efficient graph topologies in network routing games. Games Econ. Behav. Amir Epstein, Michal Feldman, Yishay Mansour
2009	A*	`conf`	Improved equilibria via public service advertising. SODA Maria-Florina Balcan, Avrim Blum, Yishay Mansour
2009	B	`conf`	Learning and Domain Adaptation. ALT Yishay Mansour
2009	B	`conf`	Learning and Domain Adaptation. Discovery Science Yishay Mansour
2009	A	`conf`	Multiple Source Adaptation and the Rényi Divergence. UAI Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh
2009	A*	`conf`	On the convergence of regret minimization dynamics in concave games. STOC Eyal Even-Dar, Yishay Mansour, Uri Nadav
2009	A*	`conf`	Online Learning for Global Cost Functions. COLT Eyal Even-Dar, Robert Kleinberg, Shie Mannor, Yishay Mansour
2009	J	`jnl`	Online Markov Decision Processes. Math. Oper. Res. Eyal Even-Dar, Sham M. Kakade, Yishay Mansour
2009	A*	`conf`	Reliable Agnostic Learning. COLT Adam Tauman Kalai, Varun Kanade, Yishay Mansour
2009	J	`jnl`	Strong equilibrium in cost sharing connection games. Games Econ. Behav. Amir Epstein, Michal Feldman, Yishay Mansour
2009	J	`jnl`	Strong price of anarchy. Games Econ. Behav. Nir Andelman, Michal Feldman, Yishay Mansour
2009	A*	`conf`	The price of uncertainty. EC Maria-Florina Balcan, Avrim Blum, Yishay Mansour
2008	J	`jnl`	Agnostically Learning Halfspaces. SIAM J. Comput. Adam Tauman Kalai, Adam R. Klivans, Yishay Mansour, Rocco A. Servedio
2008	J	`jnl`	Competitive buffer management for shared-memory switches. ACM Trans. Algorithms William Aiello, Alexander Kesselman, Yishay Mansour
2008	A*	`conf`	Competitive queue management for latency sensitive packets. SODA Amos Fiat, Yishay Mansour, Uri Nadav
2008	—	`conf`	Domain Adaptation with Multiple Sources. NIPS Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh
2008	A*	`conf`	Item pricing for revenue maximization. EC Maria-Florina Balcan, Avrim Blum, Yishay Mansour
2008	J	`jnl`	Item pricing for revenue maximization. SIGecom Exch. Maria-Florina Balcan, Avrim Blum, Yishay Mansour
2008	A*	`conf`	On agnostic boosting and parity learning. STOC Adam Tauman Kalai, Yishay Mansour, Elad Verbin
2008	—	`conf`	Position Auctions with Bidder-Specific Minimum Prices. WINE Eyal Even-Dar, Jon Feldman, Yishay Mansour, S. Muthukrishnan
2008	J	`jnl`	Reducing mechanism design to algorithm design via machine learning. J. Comput. Syst. Sci. Maria-Florina Balcan, Avrim Blum, Jason D. Hartline, Yishay Mansour
2008	J	`jnl`	Regret to the best vs. regret to the average. Mach. Learn. Eyal Even-Dar, Michael J. Kearns, Yishay Mansour, Jennifer Wortman
2007	—	`conf`	A Network Creation Game with Nonuniform Interests. WINE Yair Halevi, Yishay Mansour
2007	J	`jnl`	A Time-Optimal Self-Stabilizing Synchronizer Using A Phase Clock. IEEE Trans. Dependable Secur. Comput. Baruch Awerbuch, Shay Kutten, Yishay Mansour, Boaz Patt-Shamir, George Varghese
2007	J	`jnl`	Active sampling for multiple output identification. Mach. Learn. Shai Fine, Yishay Mansour
2007	J	`jnl`	Convergence time to Nash equilibrium in load balancing. ACM Trans. Algorithms Eyal Even-Dar, Alexander Kesselman, Yishay Mansour
2007	A*	`conf`	Efficient contention resolution protocols for selfish agents. SODA Amos Fiat, Yishay Mansour, Uri Nadav
2007	J	`jnl`	From External to Internal Regret. J. Mach. Learn. Res. Avrim Blum, Yishay Mansour
2007	J	`jnl`	Improved second-order bounds for prediction with expert advice. Mach. Learn. Nicolò Cesa-Bianchi, Yishay Mansour, Gilles Stoltz
2007	B	`conf`	Learning, regret minimization and option pricing. TARK Yishay Mansour
2007	A*	`conf`	Regret to the Best vs. Regret to the Average. COLT Eyal Even-Dar, Michael J. Kearns, Yishay Mansour, Jennifer Wortman
2007	A*	`conf`	Strong equilibrium in cost sharing connection games. EC Amir Epstein, Michal Feldman, Yishay Mansour
2007	A*	`conf`	Strong price of anarchy. SODA Nir Andelman, Michal Feldman, Yishay Mansour
2007	A*	`conf`	The Value of Observation for Monitoring Dynamic Systems. IJCAI Eyal Even-Dar, Sham M. Kakade, Yishay Mansour
2007	A*	`conf`	The communication complexity of uncoupled nash equilibrium procedures. STOC Sergiu Hart, Yishay Mansour
2006	A*	`conf`	(In)Stability properties of limit order dynamics. EC Eyal Even-Dar, Sham M. Kakade, Michael J. Kearns, Yishay Mansour
2006	A*	`conf`	A sufficient condition for truthfulness with single parameter agents. EC Nir Andelman, Yishay Mansour
2006	J	`jnl`	Action Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning Problems. J. Mach. Learn. Res. Eyal Even-Dar, Shie Mannor, Yishay Mansour
2006	A*	`conf`	Active Sampling for Multiple Output Identification. COLT Shai Fine, Yishay Mansour
2006	A	`conf`	Combining Multiple Heuristics. STACS Tzur Sayag, Shai Fine, Yishay Mansour
2006	J	`jnl`	Harnessing Machine Learning to Improve the Success Rate of Stimuli Generation. IEEE Trans. Computers Shai Fine, Ari Freund, Itai Jaeger, Yishay Mansour, Yehuda Naveh, Avi Ziv
2006	A*	`conf`	On nash equilibria for a network creation game. SODA Susanne Albers, Stefan Eilts, Eyal Even-Dar, Yishay Mansour, Liam Roditty
2006	A*	`conf`	Online trading algorithms and robust option pricing. STOC Peter M. DeMarzo, Ilan Kremer, Yishay Mansour
2005	J	`jnl`	Adaptive AIMD Congestion Control. Algorithmica Alexander Kesselman, Yishay Mansour
2005	A*	`conf`	Agnostically Learning Halfspaces. FOCS Adam Tauman Kalai, Adam R. Klivans, Yishay Mansour, Rocco A. Servedio
2005	J	`jnl`	Combining Online Algorithms for Acceptance and Rejection. Theory Comput. Yossi Azar, Avrim Blum, David P. Bunde, Yishay Mansour
2005	J	`jnl`	Competitive queue policies for differentiated services. J. Algorithms William Aiello, Yishay Mansour, S. Rajagopolan, Adi Rosén
2005	J	`jnl`	Computation in Noisy Radio Networks. SIAM J. Discret. Math. Eyal Kushilevitz, Yishay Mansour
2005	J	`jnl`	Concentration Bounds for Unigram Language Models. J. Mach. Learn. Res. Evgeny Drukh, Yishay Mansour
2005	A*	`conf`	Fast convergence of selfish rerouting. SODA Eyal Even-Dar, Yishay Mansour
2005	A*	`conf`	From External to Internal Regret. COLT Avrim Blum, Yishay Mansour
2005	—	`conf`	Harnessing machine learning to improve the success rate of stimuli generation. HLDVT Shai Fine, Ari Freund, Itai Jaeger, Yehuda Naveh, Avi Ziv, Yishay Mansour
2005	J	`jnl`	Improved Competitive Guarantees for QoS Buffering. Algorithmica Alexander Kesselman, Yishay Mansour, Rob van Stee
2005	A*	`conf`	Improved Second-Order Bounds for Prediction with Expert Advice. COLT Nicolò Cesa-Bianchi, Yishay Mansour, Gilles Stoltz
2005	A*	`conf`	Learning with attribute costs. STOC Haim Kaplan, Eyal Kushilevitz, Yishay Mansour
2005	A*	`conf`	Mechanism Design via Machine Learning. FOCS Maria-Florina Balcan, Avrim Blum, Jason D. Hartline, Yishay Mansour
2005	—	`conf`	Optimizing TCP Retransmission Timeout. ICN (2) Alexander Kesselman, Yishay Mansour
2005	A	`conf`	Planning in POMDPs Using Multiplicity Automata. UAI Eyal Even-Dar, Sham M. Kakade, Yishay Mansour
2005	A*	`conf`	Reinforcement Learning in POMDPs Without Resets. IJCAI Eyal Even-Dar, Sham M. Kakade, Yishay Mansour
2004	—	`conf`	Auctions with Budget Constraints. SWAT Nir Andelman, Yishay Mansour
2004	J	`jnl`	Buffer Overflow Management in QoS Switches. SIAM J. Comput. Alexander Kesselman, Zvi Lotker, Yishay Mansour, Boaz Patt-Shamir, Baruch Schieber, Maxim Sviridenko
2004	A*	`conf`	Competitive algorithms for VWAP and limit order trading. EC Sham M. Kakade, Michael J. Kearns, Yishay Mansour, Luis E. Ortiz
2004	A*	`conf`	Competitive on-line paging strategies for mobile users under delay constraints. PODC Amotz Bar-Noy, Yishay Mansour
2004	A*	`conf`	Concentration Bounds for Unigrams Language Model. COLT Evgeny Drukh, Yishay Mansour
2004	—	`conf`	Experts in a Markov Decision Process. NIPS Eyal Even-Dar, Sham M. Kakade, Yishay Mansour
2004	J	`jnl`	Harmonic buffer management policy for shared memory switches. Theor. Comput. Sci. Alexander Kesselman, Yishay Mansour
2004	B	`conf`	Improved combination of online algorithms for acceptance and rejection. SPAA David P. Bunde, Yishay Mansour
2004	J	`jnl`	Optimal smoothing schedules for real-time streams. Distributed Comput. Yishay Mansour, Boaz Patt-Shamir, Ofer Lapid
2003	A*	`conf`	Action Elimination and Stopping Conditions for Reinforcement Learning. ICML Eyal Even-Dar, Shie Mannor, Yishay Mansour
2003	B	`conf`	AdaVegas: adaptive control for TCP Vegas. GLOBECOM Amir Maor, Yishay Mansour
2003	A*	`conf`	Adapting to a reliable network path. PODC Baruch Awerbuch, Yishay Mansour
2003	A*	`conf`	Adaptive AIMD congestion control. PODC Alexander Kesselman, Yishay Mansour
2003	J	`jnl`	Almost k-wise independence versus k-wise independence. Inf. Process. Lett. Noga Alon, Oded Goldreich, Yishay Mansour
2003	A*	`conf`	Approximate Equivalence of Markov Decision Processes. COLT Eyal Even-Dar, Yishay Mansour
2003	A	`conf`	Buffer Overflows of Merging Streams. ESA Alexander Kesselman, Zvi Lotker, Yishay Mansour, Boaz Patt-Shamir
2003	B	`conf`	Buffer overflows of merging streams. SPAA Alexander Kesselman, Yishay Mansour, Zvi Lotker, Boaz Patt-Shamir
2003	J	`jnl`	Centralized broadcast in multihop radio networks. J. Algorithms Iris Gaber, Yishay Mansour
2003	B	`conf`	Combining online algorithms for rejection and acceptance. SPAA Yossi Azar, Avrim Blum, Yishay Mansour
2003	A	`conf`	Competitive Management of Non-preemptive Queues with Multiple Values. DISC Nir Andelman, Yishay Mansour
2003	A*	`conf`	Competitive queueing policies for QoS switches. SODA Nir Andelman, Yishay Mansour, An Zhu
2003	A*	`conf`	Convergence Time to Nash Equilibria. ICALP Eyal Even-Dar, Alexander Kesselman, Yishay Mansour
2003	J	`jnl`	Diffusion without false rumors: on propagating updates in a Byzantine environment. Theor. Comput. Sci. Dahlia Malkhi, Yishay Mansour, Michael K. Reiter
2003	A	`conf`	Improved Competitive Guarantees for QoS Buffering. ESA Alexander Kesselman, Yishay Mansour, Rob van Stee
2003	J	`jnl`	Learning Rates for Q-learning. J. Mach. Learn. Res. Eyal Even-Dar, Yishay Mansour
2003	J	`jnl`	Loss-bounded analysis for differentiated services. J. Algorithms Alexander Kesselman, Yishay Mansour
2003	J	`jnl`	Predicting and bypassing end-to-end Internet service degradations. IEEE J. Sel. Areas Commun. Anat Bremler-Barr, Edith Cohen, Haim Kaplan, Yishay Mansour
2002	J	`jnl`	A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes. Mach. Learn. Michael J. Kearns, Yishay Mansour, Andrew Y. Ng
2002	J	`jnl`	Almost k-wise independence versus k-wise independence. Electron. Colloquium Comput. Complex. Noga Alon, Oded Goldreich, Yishay Mansour
2002	J	`jnl`	Boosting Using Branching Programs. J. Comput. Syst. Sci. Yishay Mansour, David A. McAllester
2002	A	`conf`	Efficient Nash Computation in Large Population Games with Bounded Influence. UAI Michael J. Kearns, Yishay Mansour
2002	A*	`conf`	Harmonic Buffer Management Policy for Shared Memory Switches. INFOCOM Alexander Kesselman, Yishay Mansour
2002	A*	`conf`	PAC Bounds for Multi-armed Bandit and Markov Decision Processes. COLT Eyal Even-Dar, Shie Mannor, Yishay Mansour
2002	A	`conf`	Predicting and bypassing end-to-end internet service degradations. Internet Measurement Workshop Anat Bremler-Barr, Edith Cohen, Haim Kaplan, Yishay Mansour
2002	J	`jnl`	QoS-Competitive Video Buffering. Comput. Artif. Intell. Alexander Kesselman, Yishay Mansour
2002	J	`jnl`	Simple Learning Algorithms for Decision Trees and Multivariate Polynomials. SIAM J. Comput. Nader H. Bshouty, Yishay Mansour
2001	—	`conf`	Agnostic Boosting. COLT/EuroCOLT Shai Ben-David, Philip M. Long, Yishay Mansour
2001	A*	`conf`	Buffer overflow management in QoS switches. STOC Alexander Kesselman, Zvi Lotker, Yishay Mansour, Boaz Patt-Shamir, Baruch Schieber, Maxim Sviridenko
2001	B	`conf`	Competitve buffer management for shared-memory switches. SPAA Ellen L. Hahne, Alexander Kesselman, Yishay Mansour
2001	—	`conf`	Convergence of Optimistic and Incremental Q-Learning. NIPS Eyal Even-Dar, Yishay Mansour
2001	J	`jnl`	Jitter control in QoS networks. IEEE/ACM Trans. Netw. Yishay Mansour, Boaz Patt-Shamir
2001	—	`conf`	Learning Rates for Q-Learning. COLT/EuroCOLT Eyal Even-Dar, Yishay Mansour
2001	J	`jnl`	Learning with Maximum-Entropy Distributions. Mach. Learn. Yishay Mansour, Mariano Schain
2001	A*	`conf`	Loss-bounded analysis for differentiated services. SODA Alexander Kesselman, Yishay Mansour
2001	B	`conf`	QoS-Competitive Video Buffering. SIROCCO Alexander Kesselman, Yishay Mansour
2001	A	`conf`	Why averaging classifiers can protect against overfitting. AISTATS Yoav Freund, Yishay Mansour, Robert E. Schapire
2000	A*	`conf`	Boosting Using Branching Programs. COLT Yishay Mansour, David A. McAllester
2000	A*	`conf`	Competitive Queue Policies for Differentiated Services. INFOCOM William Aiello, Yishay Mansour, S. Rajagopolan, Adi Rosén
2000	A	`conf`	Fast Planning in Stochastic Games. UAI Michael J. Kearns, Yishay Mansour, Satinder Singh
2000	A*	`conf`	Generalization Bounds for Decision Trees. COLT Yishay Mansour, David A. McAllester
2000	J	`jnl`	Implementation Issues in the Fourier Transform Algorithm. Mach. Learn. Yishay Mansour, Sigal Sahar
2000	A	`conf`	Nash Convergence of Gradient Dynamics in General-Sum Games. UAI Satinder Singh, Michael J. Kearns, Yishay Mansour
2000	A*	`conf`	Optimal smoothing schedules for real-time streams (extended abstract). PODC Yishay Mansour, Boaz Patt-Shamir, Ofer Lapid
2000	J	`jnl`	Phantom: a simple and effective flow control scheme. Comput. Networks Yehuda Afek, Yishay Mansour, Zvi Ostfeld
1999	A*	`conf`	A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes. IJCAI Michael J. Kearns, Yishay Mansour, Andrew Y. Ng
1999	—	`conf`	Approximate Planning in Large POMDPs via Reusable Trajectories. NIPS Michael J. Kearns, Yishay Mansour, Andrew Y. Ng
1999	J	`jnl`	Bandwidth Allocation with Preemption. SIAM J. Comput. Amotz Bar-Noy, Ran Canetti, Shay Kutten, Yishay Mansour, Baruch Schieber
1999	—	`conf`	Boosting with Multi-Way Branching in Decision Trees. NIPS Yishay Mansour, David A. McAllester
1999	J	`jnl`	Convergence Complexity of Optimistic Rate-Based Flow-Control Algorithms. J. Algorithms Yehuda Afek, Yishay Mansour, Zvi Ostfeld
1999	—	`conf`	Empirical evaluation of interest-level criteria. Data Mining and Knowledge Discovery: Theory, Tools, and Technology Sigal Sahar, Yishay Mansour
1999	A*	`conf`	Estimating a Mixture of Two Product Distributions. COLT Yoav Freund, Yishay Mansour
1999	B	`conf`	On Diffusing Updates in a Byzantine Environment. SRDS Dahlia Malkhi, Yishay Mansour, Michael K. Reiter
1999	J	`jnl`	On Propagating Updates in a Byzantine Environment CoRR Dahlia Malkhi, Yishay Mansour, Michael K. Reiter
1999	J	`jnl`	On the Boosting Ability of Top-Down Decision Tree Learning Algorithms. J. Comput. Syst. Sci. Michael J. Kearns, Yishay Mansour
1999	A	`conf`	On the Complexity of Policy Iteration. UAI Yishay Mansour, Satinder Singh
1999	—	`conf`	Policy Gradient Methods for Reinforcement Learning with Function Approximation. NIPS Richard S. Sutton, David A. McAllester, Satinder Singh, Yishay Mansour
1999	A*	`conf`	Reinforcement Learning and Mistake Bounded Algorithms. COLT Yishay Mansour
1999	J	`jnl`	Trade-offs between Communication Throughput and Parallel Time. J. Complex. Yishay Mansour, Noam Nisan, Uzi Vishkin
1998	A*	`conf`	A Fast, Bottom-Up Decision Tree Pruning Algorithm with Near-Optimal Generalization. ICML Michael J. Kearns, Yishay Mansour
1998	—	`ch.`	An Information-Theoretic Analysis of Hard and Soft Assignment Methods for Clustering. Learning in Graphical Models Michael J. Kearns, Yishay Mansour, Andrew Y. Ng
1998	J	`jnl`	An Omega( SIAM J. Comput. Eyal Kushilevitz, Yishay Mansour
1998	—	`conf`	An approximation algorithm for minimum-cost network design. Robust Communication Networks: Interconnection and Survivability Yishay Mansour, David Peleg
1998	A*	`conf`	Competitive Dynamic Bandwidth Allocation. PODC Amotz Bar-Noy, Yishay Mansour, Baruch Schieber
1998	A*	`conf`	Computation in Noisy Radio Networks. SODA Eyal Kushilevitz, Yishay Mansour
1998	A	`conf`	Exact Inference of Hidden Structure from Sample Data in noisy-OR Networks. UAI Michael J. Kearns, Yishay Mansour
1998	A*	`conf`	Jitter Control in QoS Networks. FOCS Yishay Mansour, Boaz Patt-Shamir
1998	J	`jnl`	Learning Conjunctions with Noise under Product Distributions. Inf. Process. Lett. Yishay Mansour, Michal Parnas
1998	J	`jnl`	Lower Bounds for Randomized Mutual Exclusion. SIAM J. Comput. Eyal Kushilevitz, Yishay Mansour, Michael O. Rabin, David Zuckerman
1998	J	`jnl`	Optimal Broadcast with Partial Knowledge. SIAM J. Comput. Baruch Awerbuch, Israel Cidon, Shay Kutten, Yishay Mansour, David Peleg
1998	A*	`ed.`	Proceedings of the Eleventh Annual Conference on Computational Learning Theory, COLT 1998, Madison, Wisconsin, USA, July 24-26, 1998. COLT Peter L. Bartlett, Yishay Mansour
1997	J	`jnl`	A Construction of a Cipher from a Single Pseudorandom Permutation. J. Cryptol. Shimon Even, Yishay Mansour
1997	J	`jnl`	A Tight Bound for Approximating the Square Root. Inf. Process. Lett. Nader H. Bshouty, Yishay Mansour, Baruch Schieber, Prasoon Tiwari
1997	J	`jnl`	An Experimental and Theoretical Comparison of Model Selection Methods. Mach. Learn. Michael J. Kearns, Yishay Mansour, Andrew Y. Ng, Dana Ron
1997	A	`conf`	An Information-Theoretic Analysis of Hard and Soft Assignment Methods for Clustering. UAI Michael J. Kearns, Yishay Mansour, Andrew Y. Ng
1997	J	`jnl`	Efficient On-Line Call Control Algorithms. J. Algorithms Juan A. Garay, Inder S. Gopal, Shay Kutten, Yishay Mansour, Moti Yung
1997	—	`conf`	Learning Under Persistent Drift. EuroCOLT Yoav Freund, Yishay Mansour
1997	A*	`conf`	Learning with Maximum-Entropy Distributions. COLT Yishay Mansour, Mariano Schain
1997	J	`jnl`	On Construction of Comb. Howard J. Karloff, Yishay Mansour
1997	J	`jnl`	Online Learning versus Offline Learning. Mach. Learn. Shai Ben-David, Eyal Kushilevitz, Yishay Mansour
1997	A*	`conf`	Pessimistic decision tree pruning based Continuous-time. ICML Yishay Mansour
1997	J	`jnl`	Randomness in Private Computations. SIAM J. Discret. Math. Eyal Kushilevitz, Yishay Mansour
1997	J	`jnl`	Slide-The Key to Polynomial End-to-End Communication. J. Algorithms Yehuda Afek, Baruch Awerbuch, Eli Gafni, Yishay Mansour, Adi Rosén, Nir Shavit
1997	—	`conf`	Virtual-credit: Efficient end-to-end credit based flow control. Networks in Distributed Computing Yehuda Afek, Yishay Mansour, Zvi Ostfeld
1996	A*	`conf`	Applying the Waek Learning Framework to Understand and Improve C4.5. ICML Thomas G. Dietterich, Michael J. Kearns, Yishay Mansour
1996	A*	`conf`	Convergence Complexity of Optimistic Rate Based Flow Control Algorithms (Extended Abstract). STOC Yehuda Afek, Yishay Mansour, Zvi Ostfeld
1996	A*	`conf`	Dynamic Bandwidth Allocation Policies. INFOCOM Yehuda Afek, Menashe Cohen, Eyal Haalman, Yishay Mansour
1996	—	`conf`	On Learning Conjunctions with Malicious Noise. ISTCS Yishay Mansour, Michal Parnas
1996	A*	`conf`	On the Boosting Ability of Top-Down Decision Tree Learning Algorithms. STOC Michael J. Kearns, Yishay Mansour
1996	A*	`conf`	On the Convergence Complexity of Optimistic Rate Based Flow Control Algorithms (Brief Announcement). PODC Yehuda Afek, Yishay Mansour, Zvi Ostfeld
1996	A*	`conf`	Phantom: A Simple and Effective Flow Control Scheme. SIGCOMM Yehuda Afek, Yishay Mansour, Zvi Ostfeld
1996	A*	`conf`	Randomness in Private Computations. PODC Eyal Kushilevitz, Yishay Mansour
1995	J	`jnl`	A Parametrization Scheme for Classifying Models of PAC Learnability Inf. Comput. Shai Ben-David, Gyora M. Benedek, Yishay Mansour
1995	A*	`conf`	An Experimental and Theoretical Comparison of Model Selection Methods. COLT Michael J. Kearns, Yishay Mansour, Andrew Y. Ng, Dana Ron
1995	J	`jnl`	An O(n^(log log n)) Learning Algorithm for DNT under the Uniform Distribution. J. Comput. Syst. Sci. Yishay Mansour
1995	A*	`conf`	Bandwidth allocation with preemption. STOC Amotz Bar-Noy, Ran Canetti, Shay Kutten, Yishay Mansour, Baruch Schieber
1995	A*	`conf`	Broadcast in Radio Networks. SODA Iris Gaber, Yishay Mansour
1995	A*	`conf`	Competitive Access Time via Dynamic Storage Rearrangement (Preliminary Version). FOCS Amos Fiat, Yishay Mansour, Adi Rosén, Orli Waarts
1995	A*	`conf`	Efficient Algorithms for Learning to Play Repeated Games Against Computationally Bounded Adversaries. FOCS Yoav Freund, Michael J. Kearns, Yishay Mansour, Dana Ron, Ronitt Rubinfeld, Robert E. Schapire
1995	J	`jnl`	Greedy Packet Scheduling. SIAM J. Comput. Israel Cidon, Shay Kutten, Yishay Mansour, David Peleg
1995	—	`conf`	Implementation Issues in the Fourier Transform Algorithm. NIPS Yishay Mansour, Sigal Sahar
1995	A*	`conf`	Many-to-one packet routing on grids (Extended Abstract). STOC Yishay Mansour, Boaz Patt-Shamir
1995	J	`jnl`	On Lotteries with Unique Winners. SIAM J. Discret. Math. Eyal Kushilevitz, Yishay Mansour, Michael O. Rabin
1995	—	`conf`	Online learning versus offline learning. EuroCOLT Shai Ben-David, Eyal Kushilevitz, Yishay Mansour
1995	—	`conf`	Optimal Broadcast with Partial Knowledge (Extended Abstract). WDAG Baruch Awerbuch, Shay Kutten, Yishay Mansour, David Peleg
1995	J	`jnl`	Randomized Interpolation and Approximation of Sparse Polynomials. SIAM J. Comput. Yishay Mansour
1995	A*	`conf`	Simple Learning Algorithms for Decision Trees and Multivariate Polynomials. FOCS Nader H. Bshouty, Yishay Mansour
1995	J	`jnl`	epsilon-Discrepancy Sets and Their Application for Interpolation of Sparse Polynomials. Inf. Process. Lett. Noga Alon, Yishay Mansour
1994	A*	`conf`	On construction of STOC Howard J. Karloff, Yishay Mansour
1994	A*	`conf`	On the learnability of discrete distributions. STOC Michael J. Kearns, Yishay Mansour, Dana Ron, Ronitt Rubinfeld, Robert E. Schapire, Linda Sellie
1994	J	`jnl`	Reliable Communication Over Unreliable Channels. J. ACM Yehuda Afek, Hagit Attiya, Alan D. Fekete, Michael J. Fischer, Nancy A. Lynch, Yishay Mansour, Da-Wei Wang, Lenore D. Zuck
1994	A*	`conf`	Trade-offs between communication throughput and parallel time. STOC Yishay Mansour, Noam Nisan, Uzi Vishkin
1994	A*	`conf`	Weakly learning DNF and characterizing statistical query learning using Fourier analysis. STOC Avrim Blum, Merrick L. Furst, Jeffrey C. Jackson, Michael J. Kearns, Yishay Mansour, Steven Rudich
1993	A*	`conf`	An Omega(D log(N/D)) Lower Bound for Broadcast in Radio Networks. PODC Eyal Kushilevitz, Yishay Mansour
1993	J	`jnl`	Constant Depth Circuits, Fourier Transform, and Learnability. J. ACM Nathan Linial, Yishay Mansour, Noam Nisan
1993	—	`conf`	Efficient On-Line Call Control Algorithms. ISTCS Juan A. Garay, Inder S. Gopal, Shay Kutten, Yishay Mansour, Moti Yung
1993	J	`jnl`	Greedy Packet Scheduling on Shortest Paths. J. Algorithms Yishay Mansour, Boaz Patt-Shamir
1993	J	`jnl`	Improved selection in totally monotone arrays. Int. J. Comput. Geom. Appl. Yishay Mansour, James K. Park, Baruch Schieber, Sandeep Sen
1993	J	`jnl`	Learning Decision Trees Using the Fourier Spectrum. SIAM J. Comput. Eyal Kushilevitz, Yishay Mansour
1993	A*	`conf`	Lower bounds for randomized mutual exclusion. STOC Eyal Kushilevitz, Yishay Mansour, Michael O. Rabin, David Zuckerman
1993	J	`jnl`	The Computational Complexity of Universal Hashing. Theor. Comput. Sci. Yishay Mansour, Noam Nisan, Prasoon Tiwari
1993	J	`jnl`	The Impossibility of Implementing Reliable Communication in the Face of Crashes. J. ACM Alan D. Fekete, Nancy A. Lynch, Yishay Mansour, John Spinelli
1993	A*	`conf`	The Shrinking Generator. CRYPTO Don Coppersmith, Hugo Krawczyk, Yishay Mansour
1993	A*	`conf`	Time optimal self-stabilizing synchronization. STOC Baruch Awerbuch, Shay Kutten, Yishay Mansour, Boaz Patt-Shamir, George Varghese
1992	—	`conf`	An Efficient Topology Update Protocol for Dynamic Networks. WDAG Baruch Awerbuch, Yishay Mansour
1992	A*	`conf`	An O(n COLT Yishay Mansour
1992	J	`jnl`	Fast Exponentiation Using the Truncation Operation. Comput. Complex. Nader H. Bshouty, Yishay Mansour, Baruch Schieber, Prasoon Tiwari
1992	A*	`conf`	Randomized Interpolation and Approximation of Sparse Polynomials. ICALP Yishay Mansour
1992	J	`jnl`	The Intractability of Bounded Protocols for On-Line Sequence Transmission over Non-FIFO Channels. J. ACM Yishay Mansour, Baruch Schieber
1991	A	`conf`	A Construction of a Cioher From a Single Pseudorandom Permutation. ASIACRYPT Shimon Even, Yishay Mansour
1991	J	`jnl`	A Lower Bound for Integer Greatest Common Divisor Computations. J. ACM Yishay Mansour, Baruch Schieber, Prasoon Tiwari
1991	A*	`conf`	Broadcast with Partial Knowledge (Preliminary Version). PODC Baruch Awerbuch, Israel Cidon, Shay Kutten, Yishay Mansour, David Peleg
1991	A*	`conf`	Greedy Packet Scheduling on Shortest Paths (Preliminary Version). PODC Yishay Mansour, Boaz Patt-Shamir
1991	—	`conf`	Improved Selection on Totally Monotone Arrays. FSTTCS Yishay Mansour, James K. Park, Baruch Schieber
1991	A*	`conf`	Learning Decision Trees Using the Fourier Sprectrum (Extended Abstract) STOC Eyal Kushilevitz, Yishay Mansour
1991	A*	`conf`	Learning Monotone COLT Thomas R. Hancock, Yishay Mansour
1991	J	`jnl`	Lower Bounds for Computations with the Floor Operation. SIAM J. Comput. Yishay Mansour, Baruch Schieber, Prasoon Tiwari
1991	J	`jnl`	Results on Learnability and the Vapnik-Chervonenkis Dimension Inf. Comput. Nathan Linial, Yishay Mansour, Ronald L. Rivest
1990	—	`conf`	Greedy Packet Scheduling. WDAG Israel Cidon, Shay Kutten, Yishay Mansour, David Peleg
1990	J	`jnl`	Sorting on a Ring of Processors. J. Algorithms Yishay Mansour, Leonard J. Schulman
1990	A*	`conf`	The Computational Complexity of Universal Hashing STOC Yishay Mansour, Noam Nisan, Prasoon Tiwari
1990	—	`conf`	The Computational Complexity of Universal Hashing. SCT Yishay Mansour, Noam Nisan, Prasoon Tiwari
1989	A*	`conf`	A Parametrization Scheme for Classifying Models of Learnability. COLT Shai Ben-David, Gyora M. Benedek, Yishay Mansour
1989	J	`jnl`	Bit Complexity of Order Statistics on a Distributed Star Network. Inf. Process. Lett. Ornan Ori Gerstel, Yishay Mansour, Shmuel Zaks
1989	A*	`conf`	Constant Depth Circuits, Fourier Transform, and Learnability FOCS Nathan Linial, Yishay Mansour, Noam Nisan
1989	J	`jnl`	Finding the Edge Connectivity of Directed Graphs. J. Algorithms Yishay Mansour, Baruch Schieber
1989	A*	`conf`	Lower Bounds for Computations with the Floor Operation. ICALP Yishay Mansour, Baruch Schieber, Prasoon Tiwari
1989	J	`jnl`	On Completeness and Soundness in Interactive Proof Systems. Adv. Comput. Res. Martin Fürer, Oded Goldreich, Yishay Mansour, Michael Sipser, Stathis Zachos
1989	A*	`conf`	Polynomial End-To-End Communication (Extended Abstract) FOCS Baruch Awerbuch, Yishay Mansour, Nir Shavit
1989	A*	`conf`	Source to Destination Communication in the Presence of Faults. PODC Oded Goldreich, Amir Herzberg, Yishay Mansour
1989	A*	`conf`	Spill Code Minimization Techniques for Optimizing Compilers. PLDI David Bernstein, Dina Q. Goldin, Martin Charles Golumbic, Hugo Krawczyk, Yishay Mansour, Itai Nahshon, Ron Y. Pinter
1989	A*	`conf`	The Complexity of Approximating the Square Root (Extended Summary) FOCS Yishay Mansour, Baruch Schieber, Prasoon Tiwari
1989	A*	`conf`	The Intractability of Bounded Protocols for Non-FIFO Channels. PODC Yishay Mansour, Baruch Schieber
1988	A*	`conf`	Data Link Layer: Two Impossibility Results. PODC Nancy A. Lynch, Yishay Mansour, Alan D. Fekete
1988	A*	`conf`	Lower Bounds for Integer Greatest Common Divisor Computations (Extended Summary) FOCS Yishay Mansour, Baruch Schieber, Prasoon Tiwari
1988	A*	`conf`	Results on Learnability and the Vapnick-Chervonenkis Dimension. COLT Nathan Linial, Yishay Mansour, Ronald L. Rivest
1988	A*	`conf`	Results on learnability and the Vapnik-Chervonenkis dimension (Extended Abstract) FOCS Nathan Linial, Yishay Mansour, Ronald L. Rivest
1987	A*	`conf`	Interactive Proof Systems: Provers that never Fail and Random Selection (Extended Abstract) FOCS Oded Goldreich, Yishay Mansour, Michael Sipser
1987	J	`jnl`	Language Complexity on the Synchronous Anonymous Ring. Theor. Comput. Sci. Hagit Attiya, Yishay Mansour
1987	J	`jnl`	On the Bit Complexity of Distributed Computations in a Ring with a Leader Inf. Comput. Yishay Mansour, Shmuel Zaks
1986	A*	`conf`	On the Bit Complexity of Distributed Computations in a Ring with a Leader. PODC Yishay Mansour, Shmuel Zaks