| 2026 | COLT | Learning from Equivalence Queries, Revisited. | Mark Braverman, Roi Livni, Yishay Mansour, Shay Moran, Kobbi Nissim |
| 2026 | COLT | Learning Conditional Averages. | Marco Bressan, Nataly Brukhim, Nicol Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, Maximilian Thiessen |
| 2026 | COLT | The Sample Complexity of Multiclass and Sparse Contextual Bandits. | Liad Erez, Fan Chen, Alon Cohen, Tomer Koren, Yishay Mansour, Shay Moran, Alexander Rakhlin |
| 2026 | COLT | The Hidden Cost of Approximation in Online Mirror Descent. | Ofir Schlisselberg, Uri Sherman, Tomer Koren, Yishay Mansour |
| 2026 | STOC | Sample Complexity of Agnostic Multiclass Classification: Natarajan Dimension Strikes Back. | Alon Cohen, Liad Erez, Steve Hanneke, Tomer Koren, Yishay Mansour, Shay Moran, Qian Zhang |
| 2025 | AAAI | Batch Ensemble for Variance Dependent Regret in Stochastic Bandits. | Asaf B. Cassel, Orin Levy, Yishay Mansour |
| 2025 | AAAI | Delay as Payoff in MAB. | Ofir Schlisselberg, Ido Cohen, Tal Lancewicki, Yishay Mansour |
| 2025 | ALT | Non-stochastic Bandits With Evolving Observations. | Yogev Bar-On, Yishay Mansour |
| 2025 | COLT | Of Dice and Games: A Theory of Generalized Boosting. | Marco Bressan, Nataly Brukhim, Nicol Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, Maximilian Thiessen |
| 2025 | COLT | A Fine-grained Characterization of PAC Learnability. | Marco Bressan, Nataly Brukhim, Nicol Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, Maximilian Thiessen |
| 2025 | COLT | Rate-Preserving Reductions for Blackwell Approachability. | Christoph Dann, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan |
| 2025 | ICML | Near-optimal Regret Using Policy Optimization in Online MDPs with Aggregate Bandit Feedback. | Tal Lancewicki, Yishay Mansour |
| 2025 | ICML | Dueling Convex Optimization with General Preferences. | Aadirupa Saha, Tomer Koren, Yishay Mansour |
| 2025 | ICML | Convergence of Policy Mirror Descent Beyond Compatible Function Approximation. | Uri Sherman, Tomer Koren, Yishay Mansour |
| 2025 | STOC | On Differentially Private Linear Algebra. | Haim Kaplan, Yishay Mansour, Shay Moran, Uri Stemmer, Nitzan Tur |
| 2024 | AAAI | Principal-Agent Reward Shaping in MDPs. | Omer Ben-Porat, Yishay Mansour, Michal Moshkovitz, Boaz Taitler |
| 2024 | AISTATS | Faster Convergence with MultiWay Preferences. | Aadirupa Saha, Vitaly Feldman, Yishay Mansour, Tomer Koren |
| 2024 | ALT | Partially Interpretable Models with Guarantees on Coverage and Accuracy. | Nave Frost, Zachary C. Lipton, Yishay Mansour, Michal Moshkovitz |
| 2024 | COLT | Learnability Gaps of Strategic Classification. | Lee Cohen, Yishay Mansour, Shay Moran, Han Shao |
| 2024 | COLT | A Theory of Interpretable Approximations. | Marco Bressan, Nicol Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, Maximilian Thiessen |
| 2024 | COLT | The Real Price of Bandit Information in Multiclass Classification. | Liad Erez, Alon Cohen, Tomer Koren, Yishay Mansour, Shay Moran |
| 2024 | FC | Optimal Publishing Strategies on a Base Layer. | Yogev Bar-On, Yishay Mansour |
| 2024 | ICML | Eluder-based Regret for Stochastic Contextual MDPs. | Orin Levy, Asaf B. Cassel, Alon Cohen, Yishay Mansour |
| 2024 | ICML | Rate-Optimal Policy Optimization for Linear Markov Decision Processes. | Uri Sherman, Alon Cohen, Tomer Koren, Yishay Mansour |
| 2024 | ISAIM | A Theory of Learning with Competing Objectives and User Feedback. | Pranjal Awasthi, Corinna Cortes, Yishay Mansour, Mehryar Mohri |
| 2023 | AAAI | Optimism in Face of a Context: Regret Guarantees for Stochastic Contextual MDP. | Orin Levy, Yishay Mansour |
| 2023 | AAAI | Learning Revenue Maximization Using Posted Prices for Stochastic Strategic Patient Buyers. | Eitan-Hai Mashiah, Idan Attias, Yishay Mansour |
| 2023 | ALT | Pseudonorm Approachability and Applications to Regret Minimization. | Christoph Dann, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan |
| 2023 | FC | Uniswap Liquidity Provision: An Online Learning Approach. | Yogev Bar-On, Yishay Mansour |
| 2023 | ICML | Reinforcement Learning Can Be More Efficient with Multiple Rewards. | Christoph Dann, Yishay Mansour, Mehryar Mohri |
| 2023 | ICML | Regret Minimization and Convergence to Equilibria in General-sum Markov Games. | Liad Erez, Tal Lancewicki, Uri Sherman, Tomer Koren, Yishay Mansour |
| 2023 | ICML | Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation. | Orin Levy, Alon Cohen, Asaf B. Cassel, Yishay Mansour |
| 2023 | ICML | Random Classification Noise does not defeat All Convex Potential Boosters Irrespective of Model Choice. | Yishay Mansour, Richard Nock, Robert C. Williamson |
| 2023 | ICML | Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation. | Uri Sherman, Tomer Koren, Yishay Mansour |
| 2023 | ICML | Concurrent Shuffle Differential Privacy Under Continual Observation. | Jay Tenenbaum, Haim Kaplan, Yishay Mansour, Uri Stemmer |
| 2022 | AAAI | Modeling Attrition in Recommender Systems with Departing Bandits. | Omer Ben-Porat, Lee Cohen, Liu Leqi, Zachary C. Lipton, Yishay Mansour |
| 2022 | AAAI | Learning Adversarial Markov Decision Processes with Delayed Feedback. | Tal Lancewicki, Aviv Rosenberg, Yishay Mansour |
| 2022 | COLT | Monotone Learning. | Olivier Bousquet, Amit Daniely, Haim Kaplan, Yishay Mansour, Shay Moran, Uri Stemmer |
| 2022 | COLT | Strategizing against Learners in Bayesian Games. | Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan |
| 2022 | ICML | Guarantees for Epsilon-Greedy Reinforcement Learning with Function Approximation. | Christoph Dann, Yishay Mansour, Mehryar Mohri, Ayush Sekhari, Karthik Sridharan |
| 2022 | ICML | Cooperative Online Learning in Stochastic and Adversarial MDPs. | Tal Lancewicki, Aviv Rosenberg, Yishay Mansour |
| 2022 | ICML | FriendlyCore: Practical Differentially Private Aggregation. | Eliad Tsfadia, Edith Cohen, Haim Kaplan, Yishay Mansour, Uri Stemmer |
| 2022 | STOC | Dynamic algorithms against an adaptive adversary: generic constructions and lower bounds. | Amos Beimel, Haim Kaplan, Yishay Mansour, Kobbi Nissim, Thatchaphol Saranurak, Uri Stemmer |
| 2021 | AISTATS | A Theory of Multiple-Source Adaptation with Limited Target Labeled Data. | Yishay Mansour, Mehryar Mohri, Jae Ro, Ananda Theertha Suresh, Ke Wu |
| 2021 | COLT | Online Markov Decision Processes with Aggregate Bandit Feedback. | Alon Cohen, Haim Kaplan, Tomer Koren, Yishay Mansour |
| 2021 | COLT | The Sparse Vector Technique, Revisited. | Haim Kaplan, Yishay Mansour, Uri Stemmer |
| 2021 | CRYPTO | Separating Adaptive Streaming from Oblivious Streaming Using the Bounded Storage Model. | Haim Kaplan, Yishay Mansour, Kobbi Nissim, Uri Stemmer |
| 2021 | ICML | Differentially-Private Clustering of Easy Instances. | Edith Cohen, Haim Kaplan, Yishay Mansour, Uri Stemmer, Eliad Tsfadia |
| 2021 | ICML | Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions. | Tal Lancewicki, Shahar Segal, Tomer Koren, Yishay Mansour |
| 2021 | ICML | Adversarial Dueling Bandits. | Aadirupa Saha, Tomer Koren, Yishay Mansour |
| 2021 | ICML | Dueling Convex Optimization. | Aadirupa Saha, Tomer Koren, Yishay Mansour |
| 2021 | IJCAI | Stochastic Shortest Path with Adversarially Changing Costs. | Aviv Rosenberg, Yishay Mansour |
| 2020 | AAAI | Designing Committees for Mitigating Biases. | Michal Feldman, Yishay Mansour, Noam Nisan, Sigal Oren, Moshe Tennenholtz |
| 2020 | AAAI | Apprenticeship Learning via Frank-Wolfe. | Tom Zahavy, Alon Cohen, Haim Kaplan, Yishay Mansour |
| 2020 | ALT | Thompson Sampling for Adversarial Bit Prediction. | Yuval Lewi, Haim Kaplan, Yishay Mansour |
| 2020 | ALT | Top- | Idan Rejwan, Yishay Mansour |
| 2020 | ALT | Planning in Hierarchical Reinforcement Learning: Guarantees for Using Local Policies. | Tom Zahavy, Avinatan Hassidim, Haim Kaplan, Yishay Mansour |
| 2020 | COLT | Privately Learning Thresholds: Closing the Exponential Gap. | Haim Kaplan, Katrina Ligett, Yishay Mansour, Moni Naor, Uri Stemmer |
| 2020 | ICML | Near-optimal Regret Bounds for Stochastic Shortest Path. | Aviv Rosenberg, Alon Cohen, Yishay Mansour, Haim Kaplan |
| 2020 | IJCAI | Online Revenue Maximization for Server Pricing. | Shant Boodaghians, Federico Fusco, Stefano Leonardi, Yishay Mansour, Ruta Mehta |
| 2020 | UAI | Unknown mixing times in apprenticeship and reinforcement learning. | Tom Zahavy, Alon Cohen, Haim Kaplan, Yishay Mansour |
| 2019 | ALT | Improved Generalization Bounds for Robust Learning. | Idan Attias, Aryeh Kontorovich, Yishay Mansour |
| 2019 | ALT | Competitive ratio vs regret minimization: achieving the best of both worlds. | Amit Daniely, Yishay Mansour |
| 2019 | EC | Optimal Algorithm for Bayesian Incentive-Compatible Exploration. | Lee Cohen, Yishay Mansour |
| 2019 | ICML | Learning Linear-Quadratic Regulators Efficiently with only √T Regret. | Alon Cohen, Tomer Koren, Yishay Mansour |
| 2019 | ICML | Differentially Private Learning of Geometric Concepts. | Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer |
| 2019 | ICML | Adversarial Online Learning with noise. | Alon Resler, Yishay Mansour |
| 2019 | ICML | Online Convex Optimization in Adversarial Markov Decision Processes. | Aviv Rosenberg, Yishay Mansour |
| 2018 | AISTATS | Discriminative Learning of Prediction Intervals. | Nir Rosenfeld, Yishay Mansour, Elad Yom-Tov |
| 2018 | ALT | Robust Inference for Multiclass Classification. | Uriel Feige, Yishay Mansour, Robert E. Schapire |
| 2018 | ALT | Learning Decision Trees with Stochastic Linear Classifiers. | Tom Jurgenson, Yishay Mansour |
| 2018 | COLT | Nonstochastic Bandits with Composite Anonymous Feedback. | Nicol Cesa-Bianchi, Claudio Gentile, Yishay Mansour |
| 2018 | ICML | Online Linear Quadratic Control. | Alon Cohen, Avinatan Hassidim, Tomer Koren, Nevena Lazic, Yishay Mansour, Kunal Talwar |
| 2018 | IJCAI | Planning and Learning with Stochastic Action Sets. | Craig Boutilier, Alon Cohen, Avinatan Hassidim, Yishay Mansour, Ofer Meshi, Martin Mladenov, Dale Schuurmans |
| 2018 | PODC | Fair Leader Election for Rational Agents in Asynchronous Rings and Networks. | Assaf Yifrach, Yishay Mansour |
| 2018 | WAOA | Sublinear Graph Augmentation for Fast Query Implementation. | Artur Czumaj, Yishay Mansour, Shai Vardi |
| 2017 | AAAI | Label Efficient Learning by Exploiting Multi-Class Output Codes. | Maria-Florina Balcan, Travis Dick, Yishay Mansour |
| 2017 | COLT | Efficient PAC Learning from the Crowd. | Pranjal Awasthi, Avrim Blum, Nika Haghtalab, Yishay Mansour |
| 2017 | COLT | Efficient Co-Training of Linear Separators under Weak Dependence. | Avrim Blum, Yishay Mansour |
| 2017 | COLT | Bandits with Movement Costs and Adaptive Pricing. | Tomer Koren, Roi Livni, Yishay Mansour |
| 2017 | ICTIR | A User Re-Modeling Approach to Item Recommendation using Complex Usage Data. | Oren Sar Shalom, Haggai Roitman, Yishay Mansour, Amihood Amir |
| 2017 | WWW | ERA: A Framework for Economic Resource Allocation for the Cloud. | Moshe Babaioff, Yishay Mansour, Noam Nisan, Gali Noti, Carlo Curino, Nar Ganapathy, Ishai Menache, Omer Reingold, Moshe Tennenholtz, Erez Timnat |
| 2017 | WWW | Predicting Counterfactuals from Large Historical Data and Small Randomized Trials. | Nir Rosenfeld, Yishay Mansour, Elad Yom-Tov |
| 2016 | COLT | Delay and Cooperation in Nonstochastic Bandits. | Nicol Cesa-Bianchi, Claudio Gentile, Yishay Mansour, Alberto Minora |
| 2016 | COLT | Online Learning with Low Rank Experts. | Elad Hazan, Tomer Koren, Roi Livni, Yishay Mansour |
| 2016 | SAGT | History-Independent Distributed Multi-agent Learning. | Amos Fiat, Yishay Mansour, Mariano Schain |
| 2015 | AAAI | Learning Valuation Distributions from Partial Observation. | Avrim Blum, Yishay Mansour, Jamie Morgenstern |
| 2015 | COLT | On the Complexity of Learning with Kernels. | Nicol Cesa-Bianchi, Yishay Mansour, Ohad Shamir |
| 2015 | COLT | Learning and inference in the presence of corrupted inputs. | Uriel Feige, Yishay Mansour, Robert E. Schapire |
| 2015 | ICML | Classification with Low Rank and Missing Data. | Elad Hazan, Roi Livni, Yishay Mansour |
| 2015 | MFCS | Robust Inference and Local Algorithms. | Yishay Mansour |
| 2015 | SODA | Robust Probabilistic Inference. | Yishay Mansour, Aviad Rubinstein, Moshe Tennenholtz |
| 2015 | SIROCCO | Scheduling Multipacket Frames with Frame Deadlines. | Lukasz Jez, Yishay Mansour, Boaz Patt-Shamir |
| 2015 | WAOA | Constant-Time Local Computation Algorithms. | Yishay Mansour, Boaz Patt-Shamir, Shai Vardi |
| 2014 | ICML | Thompson Sampling for Complex Online Problems. | Aditya Gopalan, Shie Mannor, Yishay Mansour |
| 2013 | COLT | Regret Minimization for Branching Experts. | Eyal Gofer, Nicol Cesa-Bianchi, Claudio Gentile, Yishay Mansour |
| 2013 | ICML | Exploiting Ontology Structures and Unlabeled Data for Learning. | Nina Balcan, Avrim Blum, Yishay Mansour |
| 2013 | SODA | Regret Minimization for Reserve Prices in Second-Price Auctions. | Nicol Cesa-Bianchi, Claudio Gentile, Yishay Mansour |
| 2012 | ALT | Lower Bounds on Individual Sequence Regret. | Eyal Gofer, Yishay Mansour |
| 2012 | ICALP | Converting Online Algorithms to Local Computation Algorithms. | Yishay Mansour, Aviad Rubinstein, Shai Vardi, Ning Xie |
| 2012 | ICALP | Strictly-Black-Box Zero-Knowledge and Efficient Validation of Financial Transactions. | Michael O. Rabin, Yishay Mansour, S. Muthukrishnan, Moti Yung |
| 2012 | INFOCOM | Upward Max Min Fairness. | Emilie Danna, Avinatan Hassidim, Haim Kaplan, Alok Kumar, Yishay Mansour, Danny Raz, Michal Segalov |
| 2012 | ISAIM | Robust Domain Adaptation. | Yishay Mansour, Mariano Schain |
| 2012 | SODA | Beyond myopic best response (in Cournot competition). | Amos Fiat, Elias Koutsoupias, Katrina Ligett, Yishay Mansour, Svetlana Olonetsky |
| 2011 | ALT | Regret Minimization Algorithms for Pricing Lookback Options. | Eyal Gofer, Yishay Mansour |
| 2011 | FOCS | Welfare and Profit Maximization with Production Costs. | Avrim Blum, Anupam Gupta, Yishay Mansour, Ankit Sharma |
| 2011 | INFOCOM | Overflow management with multipart packets. | Yishay Mansour, Boaz Patt-Shamir, Dror Rawitz |
| 2011 | SAGT | Repeated Budgeted Second Price Ad Auction. | Asaph Arnon, Yishay Mansour |
| 2011 | SAGT | Pricing Exotic Derivatives Using Regret Minimization. | Eyal Gofer, Yishay Mansour |
| 2011 | WAOA | Competitive Router Scheduling with Structured Data. | Yishay Mansour, Boaz Patt-Shamir, Dror Rawitz |
| 2010 | COLT | Regret Minimization With Concept Drift. | Koby Crammer, Yishay Mansour, Eyal Even-Dar, Jennifer Wortman Vaughan |
| 2010 | COLT | Learning with Global Cost in Stochastic Environments. | Eyal Even-Dar, Shie Mannor, Yishay Mansour |
| 2010 | PODC | Online set packing and competitive scheduling of multi-part tasks. | Yuval Emek, Magns M. Halldrsson, Yishay Mansour, Boaz Patt-Shamir, Jaikumar Radhakrishnan, Dror Rawitz |
| 2010 | SODA | On the Equilibria of Alternating Move Games. | Aaron Roth, Maria-Florina Balcan, Adam Kalai, Yishay Mansour |
| 2010 | SOFSEM | Regret Minimization and Job Scheduling. | Yishay Mansour |
| 2009 | ALT | Learning and Domain Adaptation. | Yishay Mansour |
| 2009 | COLT | Online Learning for Global Cost Functions. | Eyal Even-Dar, Robert Kleinberg, Shie Mannor, Yishay Mansour |
| 2009 | COLT | Reliable Agnostic Learning. | Adam Tauman Kalai, Varun Kanade, Yishay Mansour |
| 2009 | COLT | Domain Adaptation: Learning Bounds and Algorithms. | Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh |
| 2009 | DIS | Learning and Domain Adaptation. | Yishay Mansour |
| 2009 | WWW | Bid optimization for broad match ad auctions. | Eyal Even-Dar, Vahab S. Mirrokni, S. Muthukrishnan, Yishay Mansour, Uri Nadav |
| 2009 | SODA | Improved equilibria via public service advertising. | Maria-Florina Balcan, Avrim Blum, Yishay Mansour |
| 2009 | STOC | On the convergence of regret minimization dynamics in concave games. | Eyal Even-Dar, Yishay Mansour, Uri Nadav |
| 2009 | UAI | Multiple Source Adaptation and the Rnyi Divergence. | Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh |
| 2008 | SODA | Competitive queue management for latency sensitive packets. | Amos Fiat, Yishay Mansour, Uri Nadav |
| 2008 | STOC | On agnostic boosting and parity learning. | Adam Tauman Kalai, Yishay Mansour, Elad Verbin |
| 2007 | COLT | Regret to the Best vs. Regret to the Average. | Eyal Even-Dar, Michael J. Kearns, Yishay Mansour, Jennifer Wortman |
| 2007 | IJCAI | The Value of Observation for Monitoring Dynamic Systems. | Eyal Even-Dar, Sham M. Kakade, Yishay Mansour |
| 2007 | SODA | Strong price of anarchy. | Nir Andelman, Michal Feldman, Yishay Mansour |
| 2007 | SODA | Efficient contention resolution protocols for selfish agents. | Amos Fiat, Yishay Mansour, Uri Nadav |
| 2007 | STOC | The communication complexity of uncoupled nash equilibrium procedures. | Sergiu Hart, Yishay Mansour |
| 2007 | TARK | Learning, regret minimization and option pricing. | Yishay Mansour |
| 2006 | COLT | Active Sampling for Multiple Output Identification. | Shai Fine, Yishay Mansour |
| 2006 | SODA | On nash equilibria for a network creation game. | Susanne Albers, Stefan Eilts, Eyal Even-Dar, Yishay Mansour, Liam Roditty |
| 2006 | STOC | Online trading algorithms and robust option pricing. | Peter M. DeMarzo, Ilan Kremer, Yishay Mansour |
| 2006 | STACS | Combining Multiple Heuristics. | Tzur Sayag, Shai Fine, Yishay Mansour |
| 2005 | COLT | From External to Internal Regret. | Avrim Blum, Yishay Mansour |
| 2005 | COLT | Improved Second-Order Bounds for Prediction with Expert Advice. | Nicol Cesa-Bianchi, Yishay Mansour, Gilles Stoltz |
| 2005 | FOCS | Mechanism Design via Machine Learning. | Maria-Florina Balcan, Avrim Blum, Jason D. Hartline, Yishay Mansour |
| 2005 | FOCS | Agnostically Learning Halfspaces. | Adam Tauman Kalai, Adam R. Klivans, Yishay Mansour, Rocco A. Servedio |
| 2005 | IJCAI | Reinforcement Learning in POMDPs Without Resets. | Eyal Even-Dar, Sham M. Kakade, Yishay Mansour |
| 2005 | SODA | Fast convergence of selfish rerouting. | Eyal Even-Dar, Yishay Mansour |
| 2005 | STOC | Learning with attribute costs. | Haim Kaplan, Eyal Kushilevitz, Yishay Mansour |
| 2005 | UAI | Planning in POMDPs Using Multiplicity Automata. | Eyal Even-Dar, Sham M. Kakade, Yishay Mansour |
| 2004 | COLT | Concentration Bounds for Unigrams Language Model. | Evgeny Drukh, Yishay Mansour |
| 2004 | PODC | Competitive on-line paging strategies for mobile users under delay constraints. | Amotz Bar-Noy, Yishay Mansour |
| 2004 | SPAA | Improved combination of online algorithms for acceptance and rejection. | David P. Bunde, Yishay Mansour |
| 2003 | COLT | Approximate Equivalence of Markov Decision Processes. | Eyal Even-Dar, Yishay Mansour |
| 2003 | ESA | Buffer Overflows of Merging Streams. | Alexander Kesselman, Zvi Lotker, Yishay Mansour, Boaz Patt-Shamir |
| 2003 | ESA | Improved Competitive Guarantees for QoS Buffering. | Alexander Kesselman, Yishay Mansour, Rob van Stee |
| 2003 | GLOBECOM | AdaVegas: adaptive control for TCP Vegas. | Amir Maor, Yishay Mansour |
| 2003 | ICALP | Convergence Time to Nash Equilibria. | Eyal Even-Dar, Alexander Kesselman, Yishay Mansour |
| 2003 | ICML | Action Elimination and Stopping Conditions for Reinforcement Learning. | Eyal Even-Dar, Shie Mannor, Yishay Mansour |
| 2003 | PODC | Adapting to a reliable network path. | Baruch Awerbuch, Yishay Mansour |
| 2003 | PODC | Adaptive AIMD congestion control. | Alexander Kesselman, Yishay Mansour |
| 2003 | SODA | Competitive queueing policies for QoS switches. | Nir Andelman, Yishay Mansour, An Zhu |
| 2003 | SPAA | Combining online algorithms for rejection and acceptance. | Yossi Azar, Avrim Blum, Yishay Mansour |
| 2003 | SPAA | Buffer overflows of merging streams. | Alexander Kesselman, Yishay Mansour, Zvi Lotker, Boaz Patt-Shamir |
| 2002 | COLT | PAC Bounds for Multi-armed Bandit and Markov Decision Processes. | Eyal Even-Dar, Shie Mannor, Yishay Mansour |
| 2002 | IMC | Predicting and bypassing end-to-end internet service degradations. | Anat Bremler-Barr, Edith Cohen, Haim Kaplan, Yishay Mansour |
| 2002 | INFOCOM | Harmonic Buffer Management Policy for Shared Memory Switches. | Alexander Kesselman, Yishay Mansour |
| 2002 | UAI | Efficient Nash Computation in Large Population Games with Bounded Influence. | Michael J. Kearns, Yishay Mansour |
| 2001 | AISTATS | Why averaging classifiers can protect against overfitting. | Yoav Freund, Yishay Mansour, Robert E. Schapire |
| 2001 | COLT | Agnostic Boosting. | Shai Ben-David, Philip M. Long, Yishay Mansour |
| 2001 | COLT | Learning Rates for Q-Learning. | Eyal Even-Dar, Yishay Mansour |
| 2001 | SODA | Loss-bounded analysis for differentiated services. | Alexander Kesselman, Yishay Mansour |
| 2001 | STOC | Buffer overflow management in QoS switches. | Alexander Kesselman, Zvi Lotker, Yishay Mansour, Boaz Patt-Shamir, Baruch Schieber, Maxim Sviridenko |
| 2001 | SPAA | Competitve buffer management for shared-memory switches. | Ellen L. Hahne, Alexander Kesselman, Yishay Mansour |
| 2001 | SIROCCO | QoS-Competitive Video Buffering. | Alexander Kesselman, Yishay Mansour |
| 2000 | COLT | Generalization Bounds for Decision Trees. | Yishay Mansour, David A. McAllester |
| 2000 | COLT | Boosting Using Branching Programs. | Yishay Mansour, David A. McAllester |
| 2000 | INFOCOM | Competitive Queue Policies for Differentiated Services. | William Aiello, Yishay Mansour, S. Rajagopolan, Adi Rosn |
| 2000 | PODC | Optimal smoothing schedules for real-time streams (extended abstract). | Yishay Mansour, Boaz Patt-Shamir, Ofer Lapid |
| 2000 | UAI | Fast Planning in Stochastic Games. | Michael J. Kearns, Yishay Mansour, Satinder Singh |
| 2000 | UAI | Nash Convergence of Gradient Dynamics in General-Sum Games. | Satinder Singh, Michael J. Kearns, Yishay Mansour |
| 1999 | COLT | Estimating a Mixture of Two Product Distributions. | Yoav Freund, Yishay Mansour |
| 1999 | COLT | Reinforcement Learning and Mistake Bounded Algorithms. | Yishay Mansour |
| 1999 | IJCAI | A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes. | Michael J. Kearns, Yishay Mansour, Andrew Y. Ng |
| 1999 | UAI | On the Complexity of Policy Iteration. | Yishay Mansour, Satinder Singh |
| 1999 | SRDS | On Diffusing Updates in a Byzantine Environment. | Dahlia Malkhi, Yishay Mansour, Michael K. Reiter |
| 1998 | FOCS | Jitter Control in QoS Networks. | Yishay Mansour, Boaz Patt-Shamir |
| 1998 | ICML | A Fast, Bottom-Up Decision Tree Pruning Algorithm with Near-Optimal Generalization. | Michael J. Kearns, Yishay Mansour |
| 1998 | PODC | Competitive Dynamic Bandwidth Allocation. | Amotz Bar-Noy, Yishay Mansour, Baruch Schieber |
| 1998 | SODA | Computation in Noisy Radio Networks. | Eyal Kushilevitz, Yishay Mansour |
| 1998 | UAI | Exact Inference of Hidden Structure from Sample Data in noisy-OR Networks. | Michael J. Kearns, Yishay Mansour |
| 1997 | COLT | Learning with Maximum-Entropy Distributions. | Yishay Mansour, Mariano Schain |
| 1997 | ICML | Pessimistic decision tree pruning based Continuous-time. | Yishay Mansour |
| 1997 | UAI | An Information-Theoretic Analysis of Hard and Soft Assignment Methods for Clustering. | Michael J. Kearns, Yishay Mansour, Andrew Y. Ng |
| 1996 | ICML | Applying the Waek Learning Framework to Understand and Improve C4.5. | Thomas G. Dietterich, Michael J. Kearns, Yishay Mansour |
| 1996 | INFOCOM | Dynamic Bandwidth Allocation Policies. | Yehuda Afek, Menashe Cohen, Eyal Haalman, Yishay Mansour |
| 1996 | PODC | On the Convergence Complexity of Optimistic Rate Based Flow Control Algorithms (Brief Announcement). | Yehuda Afek, Yishay Mansour, Zvi Ostfeld |
| 1996 | PODC | Randomness in Private Computations. | Eyal Kushilevitz, Yishay Mansour |
| 1996 | STOC | Convergence Complexity of Optimistic Rate Based Flow Control Algorithms (Extended Abstract). | Yehuda Afek, Yishay Mansour, Zvi Ostfeld |
| 1996 | STOC | On the Boosting Ability of Top-Down Decision Tree Learning Algorithms. | Michael J. Kearns, Yishay Mansour |
| 1996 | SIGCOMM | Phantom: A Simple and Effective Flow Control Scheme. | Yehuda Afek, Yishay Mansour, Zvi Ostfeld |
| 1995 | COLT | An Experimental and Theoretical Comparison of Model Selection Methods. | Michael J. Kearns, Yishay Mansour, Andrew Y. Ng, Dana Ron |
| 1995 | FOCS | Simple Learning Algorithms for Decision Trees and Multivariate Polynomials. | Nader H. Bshouty, Yishay Mansour |
| 1995 | FOCS | Competitive Access Time via Dynamic Storage Rearrangement (Preliminary Version). | Amos Fiat, Yishay Mansour, Adi Rosn, Orli Waarts |
| 1995 | FOCS | Efficient Algorithms for Learning to Play Repeated Games Against Computationally Bounded Adversaries. | Yoav Freund, Michael J. Kearns, Yishay Mansour, Dana Ron, Ronitt Rubinfeld, Robert E. Schapire |
| 1995 | SODA | Broadcast in Radio Networks. | Iris Gaber, Yishay Mansour |
| 1995 | STOC | Bandwidth allocation with preemption. | Amotz Bar-Noy, Ran Canetti, Shay Kutten, Yishay Mansour, Baruch Schieber |
| 1995 | STOC | Many-to-one packet routing on grids (Extended Abstract). | Yishay Mansour, Boaz Patt-Shamir |
| 1994 | STOC | Weakly learning DNF and characterizing statistical query learning using Fourier analysis. | Avrim Blum, Merrick L. Furst, Jeffrey C. Jackson, Michael J. Kearns, Yishay Mansour, Steven Rudich |
| 1994 | STOC | On construction of | Howard J. Karloff, Yishay Mansour |
| 1994 | STOC | On the learnability of discrete distributions. | Michael J. Kearns, Yishay Mansour, Dana Ron, Ronitt Rubinfeld, Robert E. Schapire, Linda Sellie |
| 1994 | STOC | Trade-offs between communication throughput and parallel time. | Yishay Mansour, Noam Nisan, Uzi Vishkin |
| 1993 | CRYPTO | The Shrinking Generator. | Don Coppersmith, Hugo Krawczyk, Yishay Mansour |
| 1993 | PODC | An Omega(D log(N/D)) Lower Bound for Broadcast in Radio Networks. | Eyal Kushilevitz, Yishay Mansour |
| 1993 | STOC | Time optimal self-stabilizing synchronization. | Baruch Awerbuch, Shay Kutten, Yishay Mansour, Boaz Patt-Shamir, George Varghese |
| 1993 | STOC | Lower bounds for randomized mutual exclusion. | Eyal Kushilevitz, Yishay Mansour, Michael O. Rabin, David Zuckerman |
| 1992 | COLT | An O(n | Yishay Mansour |
| 1992 | ICALP | Randomized Interpolation and Approximation of Sparse Polynomials. | Yishay Mansour |
| 1991 | ASIACRYPT | A Construction of a Cioher From a Single Pseudorandom Permutation. | Shimon Even, Yishay Mansour |
| 1991 | COLT | Learning Monotone | Thomas R. Hancock, Yishay Mansour |
| 1991 | PODC | Broadcast with Partial Knowledge (Preliminary Version). | Baruch Awerbuch, Israel Cidon, Shay Kutten, Yishay Mansour, David Peleg |
| 1991 | PODC | Greedy Packet Scheduling on Shortest Paths (Preliminary Version). | Yishay Mansour, Boaz Patt-Shamir |
| 1991 | STOC | Learning Decision Trees Using the Fourier Sprectrum (Extended Abstract) | Eyal Kushilevitz, Yishay Mansour |
| 1990 | STOC | The Computational Complexity of Universal Hashing | Yishay Mansour, Noam Nisan, Prasoon Tiwari |
| 1989 | COLT | A Parametrization Scheme for Classifying Models of Learnability. | Shai Ben-David, Gyora M. Benedek, Yishay Mansour |
| 1989 | FOCS | Polynomial End-To-End Communication (Extended Abstract) | Baruch Awerbuch, Yishay Mansour, Nir Shavit |
| 1989 | FOCS | Constant Depth Circuits, Fourier Transform, and Learnability | Nathan Linial, Yishay Mansour, Noam Nisan |
| 1989 | FOCS | The Complexity of Approximating the Square Root (Extended Summary) | Yishay Mansour, Baruch Schieber, Prasoon Tiwari |
| 1989 | ICALP | Lower Bounds for Computations with the Floor Operation. | Yishay Mansour, Baruch Schieber, Prasoon Tiwari |
| 1989 | PLDI | Spill Code Minimization Techniques for Optimizing Compilers. | David Bernstein, Dina Q. Goldin, Martin Charles Golumbic, Hugo Krawczyk, Yishay Mansour, Itai Nahshon, Ron Y. Pinter |
| 1989 | PODC | Source to Destination Communication in the Presence of Faults. | Oded Goldreich, Amir Herzberg, Yishay Mansour |
| 1989 | PODC | The Intractability of Bounded Protocols for Non-FIFO Channels. | Yishay Mansour, Baruch Schieber |
| 1988 | COLT | Results on Learnability and the Vapnick-Chervonenkis Dimension. | Nathan Linial, Yishay Mansour, Ronald L. Rivest |
| 1988 | FOCS | Results on learnability and the Vapnik-Chervonenkis dimension (Extended Abstract) | Nathan Linial, Yishay Mansour, Ronald L. Rivest |
| 1988 | FOCS | Lower Bounds for Integer Greatest Common Divisor Computations (Extended Summary) | Yishay Mansour, Baruch Schieber, Prasoon Tiwari |
| 1988 | PODC | Data Link Layer: Two Impossibility Results. | Nancy A. Lynch, Yishay Mansour, Alan D. Fekete |
| 1987 | FOCS | Interactive Proof Systems: Provers that never Fail and Random Selection (Extended Abstract) | Oded Goldreich, Yishay Mansour, Michael Sipser |
| 1986 | PODC | On the Bit Complexity of Distributed Computations in a Ring with a Leader. | Yishay Mansour, Shmuel Zaks |