Yishay Mansour
- Domain Adaptation: Learning Bounds and Algorithms
2009/02/19 by Yishay Mansour, Mehryar Mohri, Mansour, Yishay +3 · 54 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Imbalanced Data Classification Techniques #Machine Learning and Data Classification
- Three Approaches for Personalization with Applications to Federated Learning
2020/02/25 by Yishay Mansour, Mehryar Mohri, Mansour, Yishay +5 · 24 citations
Computer Science · #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Recommender Systems and Techniques
- Improved Second-Order Bounds for Prediction with Expert Advice
2006/02/27 by Nicolò Cesa‐Bianchi, Cesa-Bianchi, Nicolo, Yishay Mansour +3 · 5 citations
Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Machine Learning and Algorithms #Gaussian Processes and Bayesian Inference
- Online Convex Optimization in Adversarial Markov Decision Processes
2019/05/19 by Aviv Rosenberg, Rosenberg, Aviv, Yishay Mansour +1 · 15 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
- Delay and Cooperation in Nonstochastic Bandits
2016/02/15 by Nicolò Cesa‐Bianchi, Cesa-Bianchi, Nicolo', Claudio Gentile +5 · 6 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Age of Information Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Optimization and Search Problems
- Strategizing against Learners in Bayesian Games
2022/05/17 by Yishay Mansour, Mansour, Yishay, Mehryar Mohri +5 · 1 voice · 4 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Game Theory and Applications #Machine Learning and Algorithms #cs.GT #cs.LG
- Separating Adaptive Streaming from Oblivious Streaming
2021/01/26 by Haim Kaplan, Yishay Mansour, Kaplan, Haim +5 · 4 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning #Complexity and Algorithms in Graphs #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences
- Sample Complexity of Uniform Convergence for Multicalibration
2020/05/04 by Eliran Shabat, Lee M. Cohen, Shabat, Eliran +3 · 7 citations
Computer Science · #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #Adversarial Robustness in Machine Learning
- Nash Convergence of Gradient Dynamics in Iterated General-Sum Games
2013/01/16 by Satinder Singh, Michael Kearns, Singh, Satinder +3 · 2 citations
Decision Sciences · Economics, Econometrics and Finance · #Auction Theory and Applications #Computer Science and Game Theory (cs.GT) #Economic theories and models #FOS: Computer and information sciences #Game Theory and Applications
- Guarantees for Epsilon-Greedy Reinforcement Learning with Function Approximation
2022/06/19 by Christoph Dann, Yishay Mansour, Dann, Christoph +7 · 3 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
- Regret Minimization and Convergence to Equilibria in General-sum Markov Games
2022/07/28 by Liad Erez, Tal Lancewicki, Erez, Liad +7 · 3 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Game Theory and Applications #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
- On Propagating Updates in a Byzantine Environment
1999/08/12 by Dahlia Malkhi, Yishay Mansour, Malkhi, Dahlia +3 · 1 citation
Computer Science · #C.2.0 #C.2.4 #C.4 #Cryptography and Security (cs.CR) #Distributed #FOS: Computer and information sciences #Parallel #and Cluster Computing (cs.DC) #cs.CR #cs.DC
- Online Linear Quadratic Control
2018/06/19 by Alon Cohen, Avinatan Hassidim, Cohen, Alon +9 · 2 citations
Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Smart Grid Energy Management
- Uniswap Liquidity Provision: An Online Learning Approach
2023/02/01 by Yogev Bar-On, Yishay Mansour, Bar-On, Yogev +1 · 2 citations
Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Auction Theory and Applications #Blockchain Technology Applications and Security
- Efficient Nash Computation in Large Population Games with Bounded\n Influence
2012/12/12 by Michael Kearns, Yishay Mansour, Kearns, Michael +1 · 1 citation
Decision Sciences · Economics, Econometrics and Finance · #Game Theory and Applications #Economic theories and models #Economic Policies and Impacts
- Bandits with Movement Costs and Adaptive Pricing
2017/02/24 by Tomer Koren, Roi Livni, Koren, Tomer +3 · 1 citation
Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Machine Learning and Algorithms #Optimization and Search Problems
- Beyond Individual and Group Fairness
2020/08/21 by Pranjal Awasthi, Awasthi, Pranjal, Corinna Cortes +5 · 2 citations
Decision Sciences · Social Sciences · #Advanced Bandit Algorithms Research #Ethics and Social Impacts of AI #Decision-Making and Behavioral Economics
- Learning-Augmented Algorithms with Explicit Predictors
2024/03/12 by Marek Eliáš, Elias, Marek, Haim Kaplan +5 · 2 citations
Computer Science · #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
- Oracle-Efficient Regret Minimization in Factored MDPs with Unknown Structure
2020/09/13 by Aviv Rosenberg, Yishay Mansour, Rosenberg, Aviv +1 · 1 citation
Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
- Swap Regret and Correlated Equilibria Beyond Normal-Form Games
2025/02/27 by Eshwar Ram Arunachaleswaran, Arunachaleswaran, Eshwar Ram, Natalie Collina +9 · 2 voices · 1 citation
Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Game Theory and Applications #Artificial Intelligence in Games
- Online Learning with Low Rank Experts
2016/03/21 by Elad Hazan, Tomer Koren, Hazan, Elad +5 · 1 citation
Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques
- Learning Efficiently Function Approximation for Contextual MDP
2022/03/02 by Orin Levy, Levy, Orin, Yishay Mansour +1 · 1 citation
Computer Science · #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
- Optimism in Face of a Context: Regret Guarantees for Stochastic Contextual MDP
2022/07/22 by Orin Levy, Levy, Orin, Yishay Mansour +1 · 2 citations
Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Water resources management and optimization
- The AND-OR game: Equilibrium Characterization (Working Paper)
2012/10/05 by Avinatan Hassidim, Hassidim, Avinatan, Haim Kaplan +5 · 1 citation
Decision Sciences · Economics, Econometrics and Finance · #Auction Theory and Applications #Game Theory and Applications #Economic theories and models
- Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback
2023/02/07 by Shao, Han, Lee S. Cohen, Cohen, Lee +8 · 1 citation
Computer Science · Decision Sciences · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multi-Criteria Decision Making #Recommender Systems and Techniques #Reinforcement Learning in Robotics
- Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback
2022/01/31 by Tiancheng Jin, Jin, Tiancheng, Tal Lancewicki +7 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
- Learning Adversarial Markov Decision Processes with Delayed Feedback
2020/12/29 by Tal Lancewicki, Aviv Rosenberg, Lancewicki, Tal +3 · 1 citation
Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Reinforcement Learning in Robotics #Age of Information Optimization
- Of Dice and Games: A Theory of Generalized Boosting
2024/12/11 by Marco Bressan, Nataly Brukhim, Bressan, Marco +11 · 1 citation
Computer Science · Decision Sciences · #Artificial Intelligence in Games #Game Theory and Applications
- Delay as Payoff in MAB
2024/08/27 by Ofir Schlisselberg, Schlisselberg, Ofir, Ido Cohen +5 · 1 citation
Engineering · Decision Sciences · #ICT Impact and Policies #Auction Theory and Applications
- Near-optimal Regret Using Policy Optimization in Online MDPs with Aggregate Bandit Feedback
2025/02/06 by Tal Lancewicki, Yishay Mansour, Lancewicki, Tal +1 · 1 citation
Decision Sciences · Engineering · Computer Science · #Advanced Bandit Algorithms Research #Smart Grid Energy Management #Optimization and Search Problems