Shie Mannor - RankMe

586 papers A* 156A 11B 9C 5Misc 4Journal 312Unranked 87

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Horizon Imagination: Efficient On-Policy Rollout in Diffusion World Models. CoRR Lior Cohen, Ofir Nabati, Kaixin Wang, Navdeep Kumar, Shie Mannor
2026	J	`jnl`	Optimal Sample Complexity for Single Time-Scale Actor-Critic with Momentum. CoRR Navdeep Kumar, Tehila Dahan, Lior Cohen, Ananyabrata Barua, Giorgia Ramponi, Kfir Yehuda Levy, Shie Mannor
2026	J	`jnl`	VLM-Guided Experience Replay. CoRR Elad Sharony, Tom Jurgenson, Orr Krupnik, Dotan Di Castro, Shie Mannor
2025	A*	`conf`	A Classification View on Meta Learning Bandits. ICML Mirco Mutti, Jeongyeol Kwon, Shie Mannor, Aviv Tamar
2025	J	`jnl`	A Classification View on Meta Learning Bandits. CoRR Mirco Mutti, Jeongyeol Kwon, Shie Mannor, Aviv Tamar
2025	J	`jnl`	Accelerating Vehicle Routing via AI-Initialized Genetic Algorithms. CoRR Ido Greenberg, Piotr Sielski, Hugo Linsenmaier, Rajesh Gandham, Shie Mannor, Alexandre Fender, Gal Chechik, Eli A. Meirom
2025	J	`jnl`	Adversarial Bandit over Bandits: Hierarchical Bandits for Online Configuration Management. CoRR Chen Avin, Zvi Lotker, Shie Mannor, Gil Shabat, Hanan Shteingart, Roey Yadgar
2025	J	`jnl`	An Improved and Explainable Electricity Price Forecasting Model via SHAP-Based Error Compensation Approach. IEEE Trans. Artif. Intell. Leena Heistrene, Juri Belikov, Dmitry Baimel, Liran Katzir, Ram Machlev, Kfir Levy, Shie Mannor, Yoash Levron
2025	J	`jnl`	Dual Formulation for Non-Rectangular Lp Robust Markov Decision Processes. CoRR Navdeep Kumar, Adarsh Gupta, Maxence Mohamed Elfatihi, Giorgia Ramponi, Kfir Yehuda Levy, Shie Mannor
2025	A*	`conf`	Global Convergence of Policy Gradient in Average Reward MDPs. ICLR Navdeep Kumar, Yashaswini Murthy, Itai Shufaro, Kfir Yehuda Levy, R. Srikant, Shie Mannor
2025	J	`jnl`	M CoRR Lior Cohen, Kaixin Wang, Bingyi Kang, Uri Gadot, Shie Mannor
2025	A*	`conf`	On Bits and Bandits: Quantifying the Regret-Information Trade-off. ICLR Itai Shufaro, Nadav Merlis, Nir Weinberger, Shie Mannor
2025	A*	`conf`	Policy Gradient with Tree Expansion. ICML Gal Dalal, Assaf Hallak, Gugan Thoppe, Shie Mannor, Gal Chechik
2025	J	`jnl`	Policy Gradient with Tree Search: Avoiding Local Optimas through Lookahead. CoRR Uri Koren, Navdeep Kumar, Uri Gadot, Giorgia Ramponi, Kfir Yehuda Levy, Shie Mannor
2025	J	`jnl`	Policy Optimized Text-to-Image Pipeline Design. CoRR Uri Gadot, Rinon Gal, Yftah Ziser, Gal Chechik, Shie Mannor
2025	A*	`conf`	RL-RC-DoT: A Block-level RL agent for Task-Aware Video Compression. CVPR Uri Gadot, Assaf Shocher, Shie Mannor, Gal Chechik, Assaf Hallak
2025	J	`jnl`	RL-RC-DoT: A Block-level RL agent for Task-Aware Video Compression. CoRR Uri Gadot, Assaf Shocher, Shie Mannor, Gal Chechik, Assaf Hallak
2025	J	`jnl`	Reinforcement Learning with Discrete Diffusion Policies for Combinatorial Action Spaces. CoRR Haitong Ma, Ofir Nabati, Aviv Rosenberg, Bo Dai, Oran Lang, Idan Szpektor, Craig Boutilier, Na Li, Shie Mannor, Lior Shani, Guy Tennenholtz
2025	A*	`conf`	Reinforcement Learning with Segment Feedback. ICML Yihan Du, Anna Winnicki, Gal Dalal, Shie Mannor, R. Srikant
2025	J	`jnl`	Reinforcement Learning with Segment Feedback. CoRR Yihan Du, Anna Winnicki, Gal Dalal, Shie Mannor, R. Srikant
2025	J	`jnl`	Representative Action Selection for Large Action Space: From Bandits to MDPs. CoRR Quan Zhou, Shie Mannor
2025	J	`jnl`	Representative Action Selection for Large Action-Space Meta-Bandits. CoRR Quan Zhou, Mark Kozdoba, Shie Mannor
2025	J	`jnl`	Spectral Bellman Method: Unifying Representation and Exploration in RL. CoRR Ofir Nabati, Bo Dai, Shie Mannor, Guy Tennenholtz
2025	J	`jnl`	State Entropy Regularization for Robust Reinforcement Learning. CoRR Yonatan Ashlag, Uri Koren, Mirco Mutti, Esther Derman, Pierre-Luc Bacon, Shie Mannor
2025	J	`jnl`	Task Tokens: A Flexible Approach to Adapting Behavior Foundation Models. CoRR Ron Vainshtein, Zohar Rimon, Shie Mannor, Chen Tessler
2024	A*	`conf`	Bring Your Own (Non-Robust) Algorithm to Solve Robust MDPs by Estimating The Worst Kernel. ICML Uri Gadot, Kaixin Wang, Navdeep Kumar, Kfir Yehuda Levy, Shie Mannor
2024	J	`jnl`	Dual Pricing to Prioritize Renewable Energy and Consumer Preferences in Electricity Markets. CoRR Emilie Jong, Samuel Chevalier, Spyros Chatzivasileiadis, Shie Mannor
2024	J	`jnl`	Efficient Fairness-Performance Pareto Front Computation. CoRR Mark Kozdoba, Binyamin Perets, Shie Mannor
2024	A*	`conf`	Efficient Value Iteration for s-rectangular Robust Markov Decision Processes. ICML Navdeep Kumar, Kaixin Wang, Kfir Yehuda Levy, Shie Mannor
2024	A*	`conf`	Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization. ICML Yihan Du, Anna Winnicki, Gal Dalal, Shie Mannor, R. Srikant
2024	J	`jnl`	Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization. CoRR Yihan Du, Anna Winnicki, Gal Dalal, Shie Mannor, R. Srikant
2024	J	`jnl`	From Glucose Patterns to Health Outcomes: A Generalizable Foundation Model for Continuous Glucose Monitor Data Analysis. CoRR Guy Lutsker, Gal Sapir, Anastasia Godneva, Smadar Shilo, Jerry R. Greenfield, Dorit Samocha-Bonet, Shie Mannor, Eli Meirom, Gal Chechik, Hagai Rossman, Eran Segal
2024	J	`jnl`	Improved Sample Complexity for Global Convergence of Actor-Critic Algorithms. CoRR Navdeep Kumar, Priyank Agrawal, Giorgia Ramponi, Kfir Yehuda Levy, Shie Mannor
2024	J	`jnl`	Improving Inverse Folding for Peptide Design with Diversity-regularized Direct Preference Optimization. CoRR Ryan Park, Darren J. Hsu, C. Brian Roland, Maria Korshunova, Chen Tessler, Shie Mannor, Olivia Viessmann, Bruno Trentini
2024	A*	`conf`	Improving Token-Based World Models with Parallel Observation Prediction. ICML Lior Cohen, Kaixin Wang, Bingyi Kang, Shie Mannor
2024	J	`jnl`	Improving Token-Based World Models with Parallel Observation Prediction. CoRR Lior Cohen, Kaixin Wang, Bingyi Kang, Shie Mannor
2024	J	`jnl`	Learning Multiple Initial Solutions to Optimization Problems. CoRR Elad Sharony, Heng Yang, Tong Che, Marco Pavone, Shie Mannor, Péter Karkus
2024	—	`conf`	Learning the Uncertainty Set in Robust Markov Decision Process. Tiny Papers @ ICLR Navdeep Kumar, Kaixin Wang, Uri Gadot, Kfir Yehuda Levy, Shie Mannor
2024	J	`jnl`	On Bits and Bandits: Quantifying the Regret-Information Trade-off. CoRR Itai Shufaro, Nadav Merlis, Nir Weinberger, Shie Mannor
2024	J	`jnl`	On the Global Convergence of Policy Gradient in Average Reward Markov Decision Processes. CoRR Navdeep Kumar, Yashaswini Murthy, Itai Shufaro, Kfir Y. Levy, R. Srikant, Shie Mannor
2024	—	`conf`	PlaMo: Plan and Move in Rich 3D Physical Environments. ECCV Workshops (2) Assaf Hallak, Gal Dalal, Chen Tessler, Kelly Guo, Shie Mannor, Gal Chechik
2024	J	`jnl`	PlaMo: Plan and Move in Rich 3D Physical Environments. CoRR Assaf Hallak, Gal Dalal, Chen Tessler, Kelly Guo, Shie Mannor, Gal Chechik
2024	—	`conf`	Policy Gradient for Reinforcement Learning with General Utilities. Tiny Papers @ ICLR Navdeep Kumar, Kaixin Wang, Utkarsh Pratiush, Kfir Yehuda Levy, Shie Mannor
2024	—	`conf`	Policy Gradient with Tree Search (PGTS) in Reinforcement Learning Evades Local Maxima. Tiny Papers @ ICLR Navdeep Kumar, Priyank Agrawal, Kfir Yehuda Levy, Shie Mannor
2024	A*	`conf`	Prospective Side Information for Latent MDPs. ICML Jeongyeol Kwon, Yonathan Efroni, Shie Mannor, Constantine Caramanis
2024	A*	`conf`	RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation. NeurIPS Jeongyeol Kwon, Shie Mannor, Constantine Caramanis, Yonathan Efroni
2024	J	`jnl`	RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation. CoRR Jeongyeol Kwon, Shie Mannor, Constantine Caramanis, Yonathan Efroni
2024	J	`jnl`	SQT - std Q-target. CoRR Nitsan Soffair, Dotan Di Castro, Orly Avner, Shie Mannor
2024	A*	`conf`	Sobolev Space Regularised Pre Density Models. ICML Mark Kozdoba, Binyamin Perets, Shie Mannor
2024	A*	`conf`	Solving Non-rectangular Reward-Robust MDPs via Frequency Regularization. AAAI Uri Gadot, Esther Derman, Navdeep Kumar, Maxence Mohamed Elfatihi, Kfir Levy, Shie Mannor
2024	—	`conf`	Towards Faster Global Convergence of Robust Policy Gradient Methods. Tiny Papers @ ICLR Navdeep Kumar, Ilnura Usmanova, Kfir Yehuda Levy, Shie Mannor
2024	A*	`conf`	Tree Search-Based Policy Optimization under Stochastic Execution Delay. ICLR David Valensi, Esther Derman, Shie Mannor, Gal Dalal
2024	J	`jnl`	Tree Search-Based Policy Optimization under Stochastic Execution Delay. CoRR David Valensi, Esther Derman, Shie Mannor, Gal Dalal
2023	J	`jnl`	A General Framework for Bandit Problems Beyond Cumulative Objectives. Math. Oper. Res. Asaf B. Cassel, Shie Mannor, Assaf Zeevi
2023	J	`jnl`	An Efficient Solution to s-Rectangular Robust Markov Decision Processes. CoRR Navdeep Kumar, Kfir Levy, Kaixin Wang, Shie Mannor
2023	—	`conf`	AutoScratch: ML-Optimized Cache Management for Inference-Oriented GPUs. MLSys Yaosheng Fu, Evgeny Bolotin, Aamer Jaleel, Gal Dalal, Shie Mannor, Jacob Subag, Noam Korem, Michael Behar, David W. Nellans
2023	—	`conf`	CALM: Conditional Adversarial Latent Models for Directable Virtual Characters. SIGGRAPH (Conference Paper Track) Chen Tessler, Yoni Kasten, Yunrong Guo, Shie Mannor, Gal Chechik, Xue Bin Peng
2023	J	`jnl`	CALM: Conditional Adversarial Latent Models for Directable Virtual Characters. CoRR Chen Tessler, Yoni Kasten, Yunrong Guo, Shie Mannor, Gal Chechik, Xue Bin Peng
2023	J	`jnl`	Continuous-Time Fitted Value Iteration for Robust Policies. IEEE Trans. Pattern Anal. Mach. Intell. Michael Lutter, Boris Belousov, Shie Mannor, Dieter Fox, Animesh Garg, Jan Peters
2023	B	`conf`	Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs. CCGrid Benjamin Fuhrer, Yuval Shpigelman, Chen Tessler, Shie Mannor, Gal Chechik, Eitan Zahavi, Gal Dalal
2023	J	`jnl`	Implicitly Normalized Explicitly Regularized Density Estimation. CoRR Mark Kozdoba, Binyamin Perets, Shie Mannor
2023	A*	`conf`	Individualized Dosing Dynamics via Neural Eigen Decomposition. NeurIPS Stav Belogolovsky, Ido Greenberg, Danny Eytan, Shie Mannor
2023	J	`jnl`	Individualized Dosing Dynamics via Neural Eigen Decomposition. CoRR Stav Belogolovsky, Ido Greenberg, Danny Eytan, Shie Mannor
2023	A*	`conf`	Learning Hidden Markov Models When the Locations of Missing Observations are Unknown. ICML Binyamin Perets, Mark Kozdoba, Shie Mannor
2023	A*	`conf`	Learning to Initiate and Reason in Event-Driven Cascading Processes. ICML Yuval Atzmon, Eli A. Meirom, Shie Mannor, Gal Chechik
2023	A	`conf`	Never Worse, Mostly Better: Stable Policy Improvement in Deep Reinforcement Learning. AAMAS Pranav Khanna, Guy Tennenholtz, Nadav Merlis, Shie Mannor, Chen Tessler
2023	A*	`conf`	Optimization or Architecture: How to Hack Kalman Filtering. NeurIPS Ido Greenberg, Netanel Yannay, Shie Mannor
2023	J	`jnl`	Optimization or Architecture: How to Hack Kalman Filtering. CoRR Ido Greenberg, Netanel Yannay, Shie Mannor
2023	A*	`conf`	PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient. ICML Kaixin Wang, Daquan Zhou, Jiashi Feng, Shie Mannor
2023	A*	`conf`	Planning and Learning with Adaptive Lookahead. AAAI Aviv Rosenberg, Assaf Hallak, Shie Mannor, Gal Chechik, Gal Dalal
2023	A*	`conf`	Policy Gradient for Rectangular Robust Markov Decision Processes. NeurIPS Navdeep Kumar, Esther Derman, Matthieu Geist, Kfir Y. Levy, Shie Mannor
2023	J	`jnl`	Policy Gradient for s-Rectangular Robust Markov Decision Processes. CoRR Navdeep Kumar, Esther Derman, Matthieu Geist, Kfir Levy, Shie Mannor
2023	J	`jnl`	Prospective Side Information for Latent MDPs. CoRR Jeongyeol Kwon, Yonathan Efroni, Shie Mannor, Constantine Caramanis
2023	A*	`conf`	Representation-Driven Reinforcement Learning. ICML Ofir Nabati, Guy Tennenholtz, Shie Mannor
2023	J	`jnl`	Representation-Driven Reinforcement Learning. CoRR Ofir Nabati, Guy Tennenholtz, Shie Mannor
2023	A*	`conf`	Reward-Mixing MDPs with Few Latent Contexts are Learnable. ICML Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
2023	J	`jnl`	Robust Reinforcement Learning via Adversarial Kernel Approximation. CoRR Kaixin Wang, Uri Gadot, Navdeep Kumar, Kfir Levy, Shie Mannor
2023	J	`jnl`	SoftTreeMax: Exponential Variance Reduction in Policy Gradient via Tree Search. CoRR Gal Dalal, Assaf Hallak, Gugan Thoppe, Shie Mannor, Gal Chechik
2023	J	`jnl`	Solving Non-Rectangular Reward-Robust MDPs via Frequency Regularization. CoRR Uri Gadot, Esther Derman, Navdeep Kumar, Maxence Mohamed Elfatihi, Kfir Levy, Shie Mannor
2023	J	`jnl`	Towards Deployable RL - What's Broken with RL Research and a Potential Fix. CoRR Shie Mannor, Aviv Tamar
2023	A*	`conf`	Train Hard, Fight Easy: Robust Meta Reinforcement Learning. NeurIPS Ido Greenberg, Shie Mannor, Gal Chechik, Eli A. Meirom
2023	J	`jnl`	Train Hard, Fight Easy: Robust Meta Reinforcement Learning. CoRR Ido Greenberg, Shie Mannor, Gal Chechik, Eli A. Meirom
2023	J	`jnl`	Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization. CoRR Esther Derman, Yevgeniy Men, Matthieu Geist, Shie Mannor
2022	A*	`conf`	Actor-Critic based Improper Reinforcement Learning. ICML Mohammadi Zaki, Avi Mohan, Aditya Gopalan, Shie Mannor
2022	J	`jnl`	Actor-Critic based Improper Reinforcement Learning. CoRR Mohammadi Zaki, Avinash Mohan, Aditya Gopalan, Shie Mannor
2022	A*	`conf`	Analysis of Stochastic Processes through Replay Buffers. ICML Shirli Di-Castro Shashua, Shie Mannor, Dotan Di Castro
2022	J	`jnl`	Analysis of Stochastic Processes through Replay Buffers. CoRR Shirli Di-Castro Shashua, Shie Mannor, Dotan Di Castro
2022	J	`jnl`	Continuous Forecasting via Neural Eigen Decomposition of Stochastic Dynamics. CoRR Stav Belogolovsky, Ido Greenberg, Danny Eytan, Shie Mannor
2022	A*	`conf`	Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms. ICML Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
2022	J	`jnl`	Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms. CoRR Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
2022	Misc	`conf`	DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles. CoRL Péter Karkus, Boris Ivanovic, Shie Mannor, Marco Pavone
2022	J	`jnl`	DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles. CoRR Péter Karkus, Boris Ivanovic, Shie Mannor, Marco Pavone
2022	J	`jnl`	Efficient Policy Iteration for Robust Markov Decision Processes via Regularization. CoRR Navdeep Kumar, Kfir Levy, Kaixin Wang, Shie Mannor
2022	A*	`conf`	Efficient Risk-Averse Reinforcement Learning. NeurIPS Ido Greenberg, Yinlam Chow, Mohammad Ghavamzadeh, Shie Mannor
2022	J	`jnl`	Efficient Risk-Averse Reinforcement Learning. CoRR Ido Greenberg, Yinlam Chow, Mohammad Ghavamzadeh, Shie Mannor
2022	A*	`conf`	Finite Sample Analysis Of Dynamic Regression Parameter Learning. NeurIPS Mark Kozdoba, Edward Moroshko, Shie Mannor, Yacov Crammer
2022	J	`jnl`	Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs. CoRR Benjamin Fuhrer, Yuval Shpigelman, Chen Tessler, Shie Mannor, Gal Chechik, Eitan Zahavi, Gal Dalal
2022	J	`jnl`	Learning to reason about and to act on physical cascading events. CoRR Yuval Atzmon, Eli A. Meirom, Shie Mannor, Gal Chechik
2022	A*	`conf`	Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning. AAAI Roy Zohar, Shie Mannor, Guy Tennenholtz
2022	A*	`conf`	On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning. ICLR Guy Tennenholtz, Assaf Hallak, Gal Dalal, Shie Mannor, Gal Chechik, Uri Shalit
2022	A*	`conf`	Online Apprenticeship Learning. AAAI Lior Shani, Tom Zahavy, Shie Mannor
2022	A*	`conf`	Optimizing Tensor Network Contraction Using Reinforcement Learning. ICML Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik
2022	J	`jnl`	Optimizing Tensor Network Contraction Using Reinforcement Learning. CoRR Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik
2022	J	`jnl`	Planning and Learning with Adaptive Lookahead. CoRR Aviv Rosenberg, Assaf Hallak, Shie Mannor, Gal Chechik, Gal Dalal
2022	J	`jnl`	Policy Gradient for Reinforcement Learning with General Utilities. CoRR Navdeep Kumar, Kaixin Wang, Kfir Levy, Shie Mannor
2022	A*	`conf`	Reinforcement Learning for Datacenter Congestion Control. AAAI Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor
2022	J	`jnl`	Reinforcement Learning for Datacenter Congestion Control. SIGMETRICS Perform. Evaluation Rev. Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor
2022	C	`conf`	Reinforcement Learning for Extended Intelligence. ICINCO Shie Mannor
2022	A*	`conf`	Reinforcement Learning with a Terminator. NeurIPS Guy Tennenholtz, Nadav Merlis, Lior Shani, Shie Mannor, Uri Shalit, Gal Chechik, Assaf Hallak, Gal Dalal
2022	J	`jnl`	Reinforcement Learning with a Terminator. CoRR Guy Tennenholtz, Nadav Merlis, Lior Shani, Shie Mannor, Uri Shalit, Gal Chechik, Assaf Hallak, Gal Dalal
2022	J	`jnl`	Reward-Mixing MDPs with a Few Latent Contexts are Learnable. CoRR Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
2022	J	`jnl`	SoftTreeMax: Policy Gradient with Tree Search. CoRR Gal Dalal, Assaf Hallak, Shie Mannor, Gal Chechik
2022	A*	`conf`	The Geometry of Robust Value Functions. ICML Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor
2022	J	`jnl`	The Geometry of Robust Value Functions. CoRR Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor
2022	A*	`conf`	Tractable Optimality in Episodic Latent MABs. NeurIPS Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
2022	J	`jnl`	Tractable Optimality in Episodic Latent MABs. CoRR Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
2022	A*	`conf`	Uncertainty Estimation Using Riemannian Model Dynamics for Offline Reinforcement Learning. NeurIPS Guy Tennenholtz, Shie Mannor
2022	J	`jnl`	Whats Missing? Learning Hidden Markov Models When the Locations of Missing Observations are Unknown. CoRR Binyamin Perets, Mark Kozdoba, Shie Mannor
2021	A*	`conf`	Acting in Delayed Environments with Non-Stationary Markov Policies. ICLR Esther Derman, Gal Dalal, Shie Mannor
2021	J	`jnl`	Acting in Delayed Environments with Non-Stationary Markov Policies. CoRR Esther Derman, Gal Dalal, Shie Mannor
2021	J	`jnl`	Action Redundancy in Reinforcement Learning. CoRR Nir Baram, Guy Tennenholtz, Shie Mannor
2021	A	`conf`	Action redundancy in reinforcement learning. UAI Nir Baram, Guy Tennenholtz, Shie Mannor
2021	A	`conf`	Bandits with partially observable confounded data. UAI Guy Tennenholtz, Uri Shalit, Shie Mannor, Yonathan Efroni
2021	J	`jnl`	Better than the Best: Gradient-based Improper Reinforcement Learning for Network Scheduling. CoRR Mohammadi Zaki, Avi Mohan, Aditya Gopalan, Shie Mannor
2021	A*	`conf`	Confidence-Budget Matching for Sequential Budgeted Learning. ICML Yonathan Efroni, Nadav Merlis, Aadirupa Saha, Shie Mannor
2021	J	`jnl`	Confidence-Budget Matching for Sequential Budgeted Learning. CoRR Yonathan Efroni, Nadav Merlis, Aadirupa Saha, Shie Mannor
2021	J	`jnl`	Continuous-Time Fitted Value Iteration for Robust Policies. CoRR Michael Lutter, Boris Belousov, Shie Mannor, Dieter Fox, Animesh Garg, Jan Peters
2021	A*	`conf`	Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks. ICML Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik
2021	J	`jnl`	Dare not to Ask: Problem-Dependent Guarantees for Budgeted Bandits. CoRR Nadav Merlis, Yonathan Efroni, Shie Mannor
2021	A*	`conf`	Detecting Rewards Deterioration in Episodic Reinforcement Learning. ICML Ido Greenberg, Shie Mannor
2021	J	`jnl`	Dimension Free Generalization Bounds for Non Linear Metric Learning. CoRR Mark Kozdoba, Shie Mannor
2021	J	`jnl`	GELATO: Geometrically Enriched Latent Model for Offline Reinforcement Learning. CoRR Guy Tennenholtz, Nir Baram, Shie Mannor
2021	J	`jnl`	Improper Learning with Gradient-based Policy Optimization. CoRR Mohammadi Zaki, Avinash Mohan, Aditya Gopalan, Shie Mannor
2021	A*	`conf`	Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction. NeurIPS Gal Dalal, Assaf Hallak, Steven Dalton, Iuri Frosio, Shie Mannor, Gal Chechik
2021	J	`jnl`	Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction. CoRR Assaf Hallak, Gal Dalal, Steven Dalton, Iuri Frosio, Shie Mannor, Gal Chechik
2021	J	`jnl`	Inverse reinforcement learning in contextual MDPs. Mach. Learn. Stav Belogolovsky, Philip Korsunsky, Shie Mannor, Chen Tessler, Tom Zahavy
2021	A	`conf`	Known unknowns: Learning novel concepts using reasoning-by-elimination. UAI Harsh Agrawal, Eli A. Meirom, Yuval Atzmon, Shie Mannor, Gal Chechik
2021	A*	`conf`	Lenient Regret for Multi-Armed Bandits. AAAI Nadav Merlis, Shie Mannor
2021	J	`jnl`	Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning. CoRR Roy Zohar, Shie Mannor, Guy Tennenholtz
2021	J	`jnl`	Maximum Entropy Reinforcement Learning with Mixture Policies. CoRR Nir Baram, Guy Tennenholtz, Shie Mannor
2021	J	`jnl`	On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning. CoRR Guy Tennenholtz, Assaf Hallak, Gal Dalal, Shie Mannor, Gal Chechik, Uri Shalit
2021	C	`conf`	On the Volatility of Optimal Control Policies of a Class of Linear Quadratic Regulators. ACC Avi Mohan, Shie Mannor, Arman C. Kizilkale
2021	J	`jnl`	Online Apprenticeship Learning. CoRR Lior Shani, Tom Zahavy, Shie Mannor
2021	A*	`conf`	Online Limited Memory Neural-Linear Bandits with Likelihood Matching. ICML Ofir Nabati, Tom Zahavy, Shie Mannor
2021	J	`jnl`	Online Limited Memory Neural-Linear Bandits with Likelihood Matching. CoRR Ofir Nabati, Tom Zahavy, Shie Mannor
2021	A*	`conf`	Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning. ICLR Shauharda Khadka, Estelle Aflalo, Mattias Marder, Avrech Ben-David, Santiago Miret, Shie Mannor, Tamir Hazan, Hanlin Tang, Somdeb Majumdar
2021	A*	`conf`	Over-the-Air Adversarial Flickering Attacks Against Video Recognition Networks. CVPR Roi Pony, Itay Naeh, Shie Mannor
2021	A*	`conf`	RL for Latent MDPs: Regret Guarantees and a Lower Bound. NeurIPS Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
2021	J	`jnl`	RL for Latent MDPs: Regret Guarantees and a Lower Bound. CoRR Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
2021	J	`jnl`	Reinforcement Learning for Datacenter Congestion Control. CoRR Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor
2021	A*	`conf`	Reinforcement Learning in Reward-Mixing MDPs. NeurIPS Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
2021	J	`jnl`	Reinforcement Learning in Reward-Mixing MDPs. CoRR Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
2021	A*	`conf`	Reinforcement Learning with Trajectory Feedback. AAAI Yonathan Efroni, Nadav Merlis, Shie Mannor
2021	—	`conf`	Robust Value Iteration for Continuous Control Tasks. Robotics: Science and Systems Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg
2021	J	`jnl`	Robust Value Iteration for Continuous Control Tasks. CoRR Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg
2021	A*	`conf`	Sim and Real: Better Together. NeurIPS Shirli Di-Castro Shashua, Dotan Di Castro, Shie Mannor
2021	J	`jnl`	Sim and Real: Better Together. CoRR Shirli Di-Castro Shashua, Dotan Di Castro, Shie Mannor
2021	A*	`conf`	Twice regularized MDPs and the equivalence between robustness and regularization. NeurIPS Esther Derman, Matthieu Geist, Shie Mannor
2021	J	`jnl`	Twice regularized MDPs and the equivalence between robustness and regularization. CoRR Esther Derman, Matthieu Geist, Shie Mannor
2021	J	`jnl`	Using Kalman Filter The Right Way: Noise Estimation Is Not Optimal. CoRR Ido Greenberg, Shie Mannor, Netanel Yannay
2021	A*	`conf`	Value Iteration in Continuous Actions, States and Time. ICML Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg
2021	J	`jnl`	Value Iteration in Continuous Actions, States and Time. CoRR Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg
2020	A*	`conf`	Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs. AAAI Lior Shani, Yonathan Efroni, Shie Mannor
2020	B	`conf`	An adaptive stochastic optimization algorithm for resource allocation. ALT Xavier Fontaine, Shie Mannor, Vianney Perchet
2020	J	`jnl`	Bandits with Partially Observable Offline Data. CoRR Guy Tennenholtz, Uri Shalit, Shie Mannor, Yonathan Efroni
2020	J	`jnl`	Distributional Robustness and Regularization in Reinforcement Learning. CoRR Esther Derman, Shie Mannor
2020	J	`jnl`	Drift Detection in Episodic Data: Detect When Your Agent Starts Faltering. CoRR Ido Greenberg, Shie Mannor
2020	J	`jnl`	Exploration-Exploitation in Constrained MDPs. CoRR Yonathan Efroni, Shie Mannor, Matteo Pirotta
2020	J	`jnl`	How to Stop Epidemics: Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks. CoRR Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik
2020	J	`jnl`	Kalman meets Bellman: Improving Policy Evaluation through Value Tracking. CoRR Shirli Di-Castro Shashua, Shie Mannor
2020	J	`jnl`	Lenient Regret for Multi-Armed Bandits. CoRR Nadav Merlis, Shie Mannor
2020	J	`jnl`	Maximizing the Total Reward via Reward Tweaking. CoRR Chen Tessler, Shie Mannor
2020	A*	`conf`	Off-Policy Evaluation in Partially Observable Environments. AAAI Guy Tennenholtz, Uri Shalit, Shie Mannor
2020	A*	`conf`	Online Planning with Lookahead Policies. NeurIPS Yonathan Efroni, Mohammad Ghavamzadeh, Shie Mannor
2020	A*	`conf`	Optimistic Policy Optimization with Bandit Feedback. ICML Lior Shani, Yonathan Efroni, Aviv Rosenberg, Shie Mannor
2020	J	`jnl`	Optimistic Policy Optimization with Bandit Feedback. CoRR Yonathan Efroni, Lior Shani, Aviv Rosenberg, Shie Mannor
2020	J	`jnl`	Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning. CoRR Shauharda Khadka, Estelle Aflalo, Mattias Marder, Avrech Ben-David, Santiago Miret, Hanlin Tang, Shie Mannor, Tamir Hazan, Somdeb Majumdar
2020	J	`jnl`	Patternless Adversarial Attacks on Video Recognition Networks. CoRR Itay Naeh, Roi Pony, Shie Mannor
2020	J	`jnl`	Price Volatility in Electricity Markets: A Stochastic Control Perspective. CoRR Avinash Mohan, Shie Mannor, Arman C. Kizilkale
2020	J	`jnl`	Reinforcement Learning with Trajectory Feedback. CoRR Yonathan Efroni, Nadav Merlis, Shie Mannor
2020	A	`conf`	Scalable Detection of Offensive and Non-compliant Content / Logo in Product Images. WACV Shreyansh Gandhi, Samrat Kokkula, Abon Chaudhuri, Alessandro Magnani, Theban Stanley, Behzad Ahmadi, Venkatesh Kandaswamy, Omer Ovenc, Shie Mannor
2020	J	`jnl`	Stealing Black-Box Functionality Using The Deep Neural Tree Architecture. CoRR Daniel Teitelman, Itay Naeh, Shie Mannor
2020	J	`jnl`	The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems. CoRR Ahmet Fatih Inci, Evgeny Bolotin, Yaosheng Fu, Gal Dalal, Shie Mannor, David W. Nellans, Diana Marculescu
2020	J	`jnl`	The Pendulum Arrangement: Maximizing the Escape Time of Heterogeneous Random Walks. CoRR Asaf B. Cassel, Shie Mannor, Guy Tennenholtz
2020	A*	`conf`	Tight Lower Bounds for Combinatorial Multi-Armed Bandits. COLT Nadav Merlis, Shie Mannor
2020	J	`jnl`	Tight Lower Bounds for Combinatorial Multi-Armed Bandits. CoRR Nadav Merlis, Shie Mannor
2020	A*	`conf`	Topic Modeling via Full Dependence Mixtures. ICML Dan Fisher, Mark Kozdoba, Shie Mannor
2019	A	`conf`	A Bayesian Approach to Robust Reinforcement Learning. UAI Esther Derman, Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor
2019	J	`jnl`	A Bayesian Approach to Robust Reinforcement Learning. CoRR Esther Derman, Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor
2019	J	`jnl`	A Problem-Adaptive Algorithm for Resource Allocation. CoRR Xavier Fontaine, Shie Mannor, Vianney Perchet
2019	J	`jnl`	Action Assembly: Sparse Imitation Learning for Text Based Games with Combinatorial Action Spaces. CoRR Chen Tessler, Tom Zahavy, Deborah Cohen, Daniel J. Mankowitz, Shie Mannor
2019	A*	`conf`	Action Robust Reinforcement Learning and Applications in Continuous Control. ICML Chen Tessler, Yonathan Efroni, Shie Mannor
2019	J	`jnl`	Action Robust Reinforcement Learning and Applications in Continuous Control. CoRR Chen Tessler, Yonathan Efroni, Shie Mannor
2019	J	`jnl`	Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs. CoRR Lior Shani, Yonathan Efroni, Shie Mannor
2019	A*	`conf`	Batch-Size Independent Regret Bounds for the Combinatorial Multi-Armed Bandit Problem. COLT Nadav Merlis, Shie Mannor
2019	J	`jnl`	Batch-Size Independent Regret Bounds for the Combinatorial Multi-Armed Bandit Problem. CoRR Nadav Merlis, Shie Mannor
2019	J	`jnl`	Deep Neural Linear Bandits: Overcoming Catastrophic Forgetting through Likelihood Matching. CoRR Tom Zahavy, Shie Mannor
2019	A*	`conf`	Distributional Policy Optimization: An Alternative Approach for Continuous Control. NeurIPS Chen Tessler, Guy Tennenholtz, Shie Mannor
2019	J	`jnl`	Distributional Policy Optimization: An Alternative Approach for Continuous Control. CoRR Chen Tessler, Guy Tennenholtz, Shie Mannor
2019	A*	`conf`	Exploration Conscious Reinforcement Learning Revisited. ICML Lior Shani, Yonathan Efroni, Shie Mannor
2019	A*	`conf`	How to Combine Tree-Search Methods in Reinforcement Learning. AAAI Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
2019	J	`jnl`	Image Matters: Detecting Offensive and Non-Compliant Content / Logo in Product Images. CoRR Shreyansh Gandhi, Samrat Kokkula, Abon Chaudhuri, Alessandro Magnani, Theban Stanley, Behzad Ahmadi, Venkatesh Kandaswamy, Omer Ovenc, Shie Mannor
2019	J	`jnl`	Inverse Reinforcement Learning in Contextual MDPs. CoRR Philip Korsunsky, Stav Belogolovsky, Tom Zahavy, Chen Tessler, Shie Mannor
2019	J	`jnl`	Multi-Step Greedy and Approximate Real Time Dynamic Programming. CoRR Yonathan Efroni, Mohammad Ghavamzadeh, Shie Mannor
2019	J	`jnl`	Multi-User Communication Networks: A Coordinated Multi-Armed Bandit Approach. IEEE/ACM Trans. Netw. Orly Avner, Shie Mannor
2019	J	`jnl`	Natural Language State Representation for Reinforcement Learning. CoRR Erez Schwartz, Guy Tennenholtz, Chen Tessler, Shie Mannor
2019	A*	`conf`	Nonlinear Distributional Gradient Temporal-Difference Learning. ICML Chao Qu, Shie Mannor, Huan Xu
2019	J	`jnl`	Off-Policy Evaluation in Partially Observable Environments. CoRR Guy Tennenholtz, Shie Mannor, Uri Shalit
2019	A*	`conf`	On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters. AAAI Mark Kozdoba, Jakub Marecek, Tigran T. Tchrakian, Shie Mannor
2019	J	`jnl`	Practical Risk Measures in Reinforcement Learning. CoRR Dotan Di Castro, Joel Oren, Shie Mannor
2019	—	`conf`	Reward Constrained Policy Optimization. ICLR (Poster) Chen Tessler, Daniel J. Mankowitz, Shie Mannor
2019	J	`jnl`	Stabilizing Off-Policy Reinforcement Learning with Conservative Policy Gradients. CoRR Chen Tessler, Nadav Merlis, Shie Mannor
2019	A*	`conf`	The Natural Language of Actions. ICML Guy Tennenholtz, Shie Mannor
2019	J	`jnl`	The Natural Language of Actions. CoRR Guy Tennenholtz, Shie Mannor
2019	A*	`conf`	Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies. NeurIPS Yonathan Efroni, Nadav Merlis, Mohammad Ghavamzadeh, Shie Mannor
2019	J	`jnl`	Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies. CoRR Yonathan Efroni, Nadav Merlis, Mohammad Ghavamzadeh, Shie Mannor
2019	J	`jnl`	Topic Modeling via Full Dependence Mixtures. CoRR Dan Fisher, Mark Kozdoba, Shie Mannor
2019	J	`jnl`	Trust Region Value Optimization using Kalman Filtering. CoRR Shirli Di-Castro Shashua, Shie Mannor
2019	A*	`conf`	Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning. NeurIPS Chao Qu, Shie Mannor, Huan Xu, Yuan Qi, Le Song, Junwu Xiong
2019	J	`jnl`	Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning. CoRR Chao Qu, Shie Mannor, Huan Xu, Yuan Qi, Le Song, Junwu Xiong
2019	J	`jnl`	Variance Estimation For Online Regression via Spectrum Thresholding. CoRR Mark Kozdoba, Edward Moroshko, Shie Mannor, Koby Crammer
2018	A*	`conf`	A General Approach to Multi-Armed Bandits Under Risk Criteria. COLT Asaf B. Cassel, Shie Mannor, Assaf Zeevi
2018	J	`jnl`	A General Approach to Multi-Armed Bandits Under Risk Criteria. CoRR Asaf B. Cassel, Shie Mannor, Assaf Zeevi
2018	J	`jnl`	Beyond the One Step Greedy Approach in Reinforcement Learning. CoRR Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
2018	A*	`conf`	Beyond the One-Step Greedy Approach in Reinforcement Learning. ICML Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
2018	J	`jnl`	Chance-Constrained Outage Scheduling using a Machine Learning Proxy. CoRR Gal Dalal, Elad Gilboa, Shie Mannor, Louis Wehenkel
2018	J	`jnl`	Deep Learning Reconstruction of Ultra-Short Pulses. CoRR Tom Zahavy, Alex Dikopoltsev, Oren Cohen, Shie Mannor, Mordechai Segev
2018	J	`jnl`	Detecting Cascades from Weak Signatures. IEEE Trans. Netw. Sci. Eng. Eli A. Meirom, Constantine Caramanis, Shie Mannor, Ariel Orda, Sanjay Shakkottai
2018	—	`conf`	Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms. ICLR (Workshop) Tom Zahavy, Bingyi Kang, Alex Sivak, Jiashi Feng, Huan Xu, Shie Mannor
2018	A*	`conf`	Finite Sample Analyses for TD(0) With Function Approximation. AAAI Gal Dalal, Balázs Szörényi, Gugan Thoppe, Shie Mannor
2018	A*	`conf`	Finite Sample Analysis of Two-Timescale Stochastic Approximation with Applications to Reinforcement Learning. COLT Gal Dalal, Gugan Thoppe, Balázs Szörényi, Shie Mannor
2018	J	`jnl`	How to Combine Tree-Search Methods in Reinforcement Learning. CoRR Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
2018	J	`jnl`	Inspiration Learning through Preferences. CoRR Nir Baram, Shie Mannor
2018	J	`jnl`	Interdependent Gibbs Samplers. CoRR Mark Kozdoba, Shie Mannor
2018	A*	`conf`	Is a Picture Worth a Thousand Words? A Deep Multi-Modal Architecture for Product Classification in E-Commerce. AAAI Tom Zahavy, Abhinandan Krishnan, Alessandro Magnani, Shie Mannor
2018	A*	`conf`	Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning. NeurIPS Tom Zahavy, Matan Haroush, Nadav Merlis, Daniel J. Mankowitz, Shie Mannor
2018	J	`jnl`	Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning. CoRR Tom Zahavy, Matan Haroush, Nadav Merlis, Daniel J. Mankowitz, Shie Mannor
2018	—	`conf`	Learning How Not to Act in Text-based Games. ICLR (Workshop) Matan Haroush, Tom Zahavy, Daniel J. Mankowitz, Shie Mannor
2018	A*	`conf`	Learning Robust Options. AAAI Daniel J. Mankowitz, Timothy A. Mann, Pierre-Luc Bacon, Doina Precup, Shie Mannor
2018	J	`jnl`	Learning Robust Options. CoRR Daniel J. Mankowitz, Timothy A. Mann, Pierre-Luc Bacon, Doina Precup, Shie Mannor
2018	J	`jnl`	Multi Instance Learning For Unbalanced Data. CoRR Mark Kozdoba, Edward Moroshko, Lior Shani, Takuya Takagi, Takashi Katoh, Shie Mannor, Koby Crammer
2018	J	`jnl`	Multi-user Communication Networks: A Coordinated Multi-armed Bandit Approach. CoRR Orly Avner, Shie Mannor
2018	A*	`conf`	Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning. NeurIPS Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
2018	J	`jnl`	Multiple-Step Greedy Policies in Online and Approximate Reinforcement Learning. CoRR Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
2018	J	`jnl`	Nonlinear Distributional Gradient Temporal-Difference Learning. CoRR Chao Qu, Shie Mannor, Huan Xu
2018	J	`jnl`	On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters. CoRR Mark Kozdoba, Jakub Marecek, Tigran T. Tchrakian, Shie Mannor
2018	Misc	`conf`	PAC Bandits with Risk Constraints. ISAIM Yahel David, Balázs Szörényi, Mohammad Ghavamzadeh, Shie Mannor, Nahum Shimkin
2018	J	`jnl`	Revisiting Exploration-Conscious Reinforcement Learning. CoRR Lior Shani, Yonathan Efroni, Shie Mannor
2018	J	`jnl`	Reward Constrained Policy Optimization. CoRR Chen Tessler, Daniel J. Mankowitz, Shie Mannor
2018	A	`conf`	Soft-Robust Actor-Critic Policy-Gradient. UAI Esther Derman, Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor
2018	J	`jnl`	Soft-Robust Actor-Critic Policy-Gradient. CoRR Esther Derman, Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor
2018	J	`jnl`	Source Estimation in Time Series and the Surprising Resilience of HMMs. IEEE Trans. Inf. Theory Mark Kozdoba, Shie Mannor
2018	J	`jnl`	Train on Validation: Squeezing the Data Lemon. CoRR Guy Tennenholtz, Tom Zahavy, Shie Mannor
2017	A*	`conf`	A Deep Hierarchical Approach to Lifelong Learning in Minecraft. AAAI Chen Tessler, Shahar Givony, Tom Zahavy, Daniel J. Mankowitz, Shie Mannor
2017	—	`conf`	A Nonparametric Sequential Test for Online Randomized Experiments. WWW (Companion Volume) Vineet Abhishek, Shie Mannor
2017	A*	`conf`	Approximate Value Iteration with Temporally Extended Actions (Extended Abstract). IJCAI Timothy A. Mann, Shie Mannor, Doina Precup
2017	J	`jnl`	Concentration Bounds for Two Timescale Stochastic Approximation with Applications to Reinforcement Learning. CoRR Gal Dalal, Balázs Szörényi, Gugan Thoppe, Shie Mannor
2017	A*	`conf`	Consistent On-Line Off-Policy Evaluation. ICML Assaf Hallak, Shie Mannor
2017	J	`jnl`	Consistent On-Line Off-Policy Evaluation. CoRR Assaf Hallak, Shie Mannor
2017	J	`jnl`	Deep Robust Kalman Filter. CoRR Shirli Di-Castro Shashua, Shie Mannor
2017	A*	`conf`	End-to-End Differentiable Adversarial Imitation Learning. ICML Nir Baram, Oron Anschel, Itai Caspi, Shie Mannor
2017	J	`jnl`	Finite Sample Analysis for TD(0) with Linear Function Approximation. CoRR Gal Dalal, Balázs Szörényi, Gugan Thoppe, Shie Mannor
2017	A*	`conf`	Ignoring Is a Bliss: Learning with Large Noise Through Reweighting-Minimization. COLT Daniel Vainsencher, Shie Mannor, Huan Xu
2017	J	`jnl`	Learn on Source, Refine on Target: A Model Transfer Learning Framework with Random Forests. IEEE Trans. Pattern Anal. Mach. Intell. Noam Segev, Maayan Harel, Shie Mannor, Koby Crammer, Ran El-Yaniv
2017	A*	`conf`	Multi-objective Bandits: Optimizing the Generalized Gini Index. ICML Róbert Busa-Fekete, Balázs Szörényi, Paul Weng, Shie Mannor
2017	J	`jnl`	Multi-objective Bandits: Optimizing the Generalized Gini Index. CoRR Róbert Busa-Fekete, Balázs Szörényi, Paul Weng, Shie Mannor
2017	—	`conf`	Non-parametric Online AUC Maximization. ECML/PKDD (2) Balázs Szörényi, Snir Cohen, Shie Mannor
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	J	`jnl`	Online Learning with Many Experts. CoRR Alon Cohen, Shie Mannor
2017	J	`jnl`	Outlier Robust Online Learning. CoRR Jiashi Feng, Huan Xu, Shie Mannor
2017	A	`conf`	Proxy Voting for Better Outcomes. AAMAS Gal Cohensius, Shie Mannor, Reshef Meir, Eli A. Meirom, Ariel Orda
2017	—	`conf`	Rotting Bandits. NIPS Nir Levine, Koby Crammer, Shie Mannor
2017	J	`jnl`	Rotting Bandits. CoRR Nir Levine, Koby Crammer, Shie Mannor
2017	J	`jnl`	Sequential Decision Making With Coherent Risk. IEEE Trans. Autom. Control. Aviv Tamar, Yinlam Chow, Mohammad Ghavamzadeh, Shie Mannor
2017	—	`conf`	Shallow Updates for Deep Reinforcement Learning. NIPS Nir Levine, Tom Zahavy, Daniel J. Mankowitz, Aviv Tamar, Shie Mannor
2017	J	`jnl`	Shallow Updates for Deep Reinforcement Learning. CoRR Nir Levine, Tom Zahavy, Daniel J. Mankowitz, Aviv Tamar, Shie Mannor
2017	J	`jnl`	Situationally Aware Options. CoRR Daniel J. Mankowitz, Aviv Tamar, Shie Mannor
2017	J	`jnl`	Strategic Formation of Heterogeneous Networks. IEEE J. Sel. Areas Commun. Eli A. Meirom, Shie Mannor, Ariel Orda
2017	—	`conf`	Supervised learning for optimal power flow as a real-time proxy. ISGT Raphaël Canyasse, Gal Dalal, Shie Mannor
2017	J	`jnl`	The Stochastic Firefighter Problem. CoRR Guy Tennenholtz, Constantine Caramanis, Shie Mannor
2016	J	`jnl`	A Deep Hierarchical Approach to Lifelong Learning in Minecraft. CoRR Chen Tessler, Shahar Givony, Tom Zahavy, Daniel J. Mankowitz, Shie Mannor
2016	J	`jnl`	A Reinforcement Learning System to Encourage Physical Activity in Diabetes Patients. CoRR Irit Hochberg, Guy Feraru, Mark Kozdoba, Shie Mannor, Moshe Tennenholtz, Elad Yom-Tov
2016	J	`jnl`	Adaptive Lambda Least-Squares Temporal Difference Learning. CoRR Timothy A. Mann, Hugo Penedones, Shie Mannor, Todd Hester
2016	—	`conf`	Adaptive Skills Adaptive Partitions (ASAP). NIPS Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor
2016	J	`jnl`	Adaptive Skills, Adaptive Partitions (ASAP). CoRR Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor
2016	J	`jnl`	Bayesian Reinforcement Learning: A Survey. CoRR Mohammad Ghavamzadeh, Shie Mannor, Joelle Pineau, Aviv Tamar
2016	J	`jnl`	Bending the Curve: Improving the ROC Curve Through Error Redistribution. CoRR Oran Richman, Shie Mannor
2016	J	`jnl`	Clustering Time Series and the Surprising Robustness of HMMs. CoRR Mark Kozdoba, Shie Mannor
2016	J	`jnl`	Deep Reinforcement Learning Discovers Internal Models. CoRR Nir Baram, Tom Zahavy, Shie Mannor
2016	J	`jnl`	Distributed Scenario-Based Optimization for Asset Management in a Hierarchical Decision Making Environment. CoRR Gal Dalal, Elad Gilboa, Shie Mannor
2016	—	`conf`	Distributed scenario-based optimization for asset management in a hierarchical decision making environment. PSCC Gal Dalal, Elad Gilboa, Shie Mannor
2016	J	`jnl`	Ensemble Robustness of Deep Learning Algorithms. CoRR Jiashi Feng, Tom Zahavy, Bingyi Kang, Huan Xu, Shie Mannor
2016	A*	`conf`	Generalized Emphatic Temporal Difference Learning: Bias-Variance Analysis. AAAI Assaf Hallak, Aviv Tamar, Rémi Munos, Shie Mannor
2016	A*	`conf`	Graying the black box: Understanding DQNs. ICML Tom Zahavy, Nir Ben-Zrihem, Shie Mannor
2016	J	`jnl`	Graying the black box: Understanding DQNs. CoRR Tom Zahavy, Nir Ben-Zrihem, Shie Mannor
2016	A*	`conf`	Heteroscedastic Sequences: Beyond Gaussianity. ICML Oren Anava, Shie Mannor
2016	A*	`conf`	Hierarchical Decision Making In Electricity Grid Management. ICML Gal Dalal, Elad Gilboa, Shie Mannor
2016	J	`jnl`	Hierarchical Decision Making In Electricity Grid Management. CoRR Gal Dalal, Elad Gilboa, Shie Mannor
2016	J	`jnl`	How to Allocate Resources For Features Acquisition? CoRR Oran Richman, Shie Mannor
2016	—	`conf`	INSIGHT: Dynamic Traffic Management Using Heterogeneous Urban Data. ECML/PKDD (3) Nikolaos Panagiotou, Nikolas Zygouras, Ioannis Katakis, Dimitrios Gunopulos, Nikos Zacheilas, Ioannis Boutsis, Vana Kalogeraki, Stephen Lynch, Brendan O'Brien, Dermot Kinane, Jakub Marecek, Jia Yuan Yu, Rudi Verago, Elizabeth Daly, Nico Piatkowski, Thomas Liebig, Christian Bockermann, Katharina Morik, François Schnitzler, Matthias Weidlich, Avigdor Gal, Shie Mannor, Hendrik Stange, Werner Halft, Gennady L. Andrienko
2016	J	`jnl`	Is a picture worth a thousand words? A Deep Multi-Modal Fusion Architecture for Product Classification in e-commerce. CoRR Tom Zahavy, Alessandro Magnani, Abhinandan Krishnan, Shie Mannor
2016	J	`jnl`	Iterative Hierarchical Optimization for Misspecified Problems (IHOMP). CoRR Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor
2016	J	`jnl`	Learning the Variance of the Reward-To-Go. J. Mach. Learn. Res. Aviv Tamar, Dotan Di Castro, Shie Mannor
2016	J	`jnl`	Model-based Adversarial Imitation Learning. CoRR Nir Baram, Oron Anschel, Shie Mannor
2016	A*	`conf`	Multi-user lax communications: A multi-armed bandit approach. INFOCOM Orly Avner, Shie Mannor
2016	J	`jnl`	Proxy Voting for Better Outcomes. CoRR Gal Cohensius, Shie Mannor, Reshef Meir, Eli A. Meirom, Ariel Orda
2016	J	`jnl`	Regularized Policy Iteration with Nonparametric Function Spaces. J. Mach. Learn. Res. Amir-massoud Farahmand, Mohammad Ghavamzadeh, Csaba Szepesvári, Shie Mannor
2016	J	`jnl`	Reinforcement Learning in Robust Markov Decision Processes. Math. Oper. Res. Shiau Hong Lim, Huan Xu, Shie Mannor
2016	J	`jnl`	Robust MDPs with Math. Oper. Res. Shie Mannor, Ofir Mebel, Huan Xu
2016	J	`jnl`	Situational Awareness by Risk-Conscious Skills. CoRR Daniel J. Mankowitz, Aviv Tamar, Shie Mannor
2016	J	`jnl`	Statistical Optimization in High Dimensions. Oper. Res. Huan Xu, Constantine Caramanis, Shie Mannor
2016	J	`jnl`	Strategic Formation of Heterogeneous Networks. CoRR Eli A. Meirom, Shie Mannor, Ariel Orda
2016	J	`jnl`	Supervised Learning for Optimal Power Flow as a Real-Time Proxy. CoRR Raphaël Canyasse, Gal Dalal, Shie Mannor
2016	J	`jnl`	Unit Commitment using Nearest Neighbor as a Short-Term Proxy. CoRR Gal Dalal, Elad Gilboa, Shie Mannor, Louis Wehenkel
2016	J	`jnl`	Visualizing Dynamics: from t-SNE to SEMI-MDPs. CoRR Nir Ben-Zrihem, Tom Zahavy, Shie Mannor
2015	J	`jnl`	Actively Learning to Attract Followers on Twitter. CoRR Nir Levine, Timothy A. Mann, Shie Mannor
2015	J	`jnl`	Approximate Value Iteration with Temporally Extended Actions. J. Artif. Intell. Res. Timothy A. Mann, Shie Mannor, Doina Precup
2015	J	`jnl`	Bayesian Reinforcement Learning: A Survey. Found. Trends Mach. Learn. Mohammad Ghavamzadeh, Shie Mannor, Joelle Pineau, Aviv Tamar
2015	J	`jnl`	Bootstrapping Skills. CoRR Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor
2015	—	`conf`	Community Detection via Measure Space Embedding. NIPS Mark Kozdoba, Shie Mannor
2015	J	`jnl`	Contextual Markov Decision Processes. CoRR Assaf Hallak, Dotan Di Castro, Shie Mannor
2015	J	`jnl`	Distinguishing Infections on Different Graph Topologies. IEEE Trans. Inf. Theory Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai
2015	A*	`conf`	Dynamic Sensing: Better Classification under Acquisition Constraints. ICML Oran Richman, Shie Mannor
2015	J	`jnl`	Emphatic TD Bellman Operator is a Contraction. CoRR Assaf Hallak, Aviv Tamar, Shie Mannor
2015	A*	`conf`	Formation games of reliable networks. INFOCOM Eli A. Meirom, Shie Mannor, Ariel Orda
2015	J	`jnl`	Generalized Emphatic Temporal Difference Learning: Bias-Variance Analysis. CoRR Assaf Hallak, Aviv Tamar, Rémi Munos, Shie Mannor
2015	J	`jnl`	Learn on Source, Refine on Target: A Model Transfer Learning Framework with Random Forests. CoRR Noam Segev, Maayan Harel, Shie Mannor, Koby Crammer, Ran El-Yaniv
2015	—	`conf`	Learning When to Switch between Skills in a High Dimensional Domain. AAAI Workshop: Learning for General Competency in Video Games Timothy A. Mann, Daniel J. Mankowitz, Shie Mannor
2015	J	`jnl`	Learning to coordinate without communication in multi-user multi-armed bandit problems. CoRR Orly Avner, Shie Mannor
2015	A*	`conf`	Local detection of infections in heterogeneous networks. INFOCOM Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai
2015	A*	`conf`	Localized Epidemic Detection in Networks with Overwhelming Noise. SIGMETRICS Eli A. Meirom, Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai, Ariel Orda
2015	A*	`conf`	Off-policy Model-based Learning under Unknown Factored Dynamics. ICML Assaf Hallak, François Schnitzler, Timothy A. Mann, Shie Mannor
2015	J	`jnl`	Off-policy evaluation for MDPs with unknown structure. CoRR Assaf Hallak, François Schnitzler, Timothy A. Mann, Shie Mannor
2015	—	`conf`	Online Learning for Adversaries with Memory: Price of Past Mistakes. NIPS Oren Anava, Elad Hazan, Shie Mannor
2015	A*	`conf`	Optimizing the CVaR via Sampling. AAAI Aviv Tamar, Yonatan Glassner, Shie Mannor
2015	J	`jnl`	Oracle-Based Robust Optimization via Online Learning. Oper. Res. Aharon Ben-Tal, Elad Hazan, Tomer Koren, Shie Mannor
2015	J	`jnl`	Overlapping Communities Detection via Measure Space Embedding. CoRR Mark Kozdoba, Shie Mannor
2015	J	`jnl`	Overlapping Community Detection by Online Cluster Aggregation. CoRR Mark Kozdoba, Shie Mannor
2015	—	`conf`	Policy Gradient for Coherent Risk Measures. NIPS Aviv Tamar, Yinlam Chow, Mohammad Ghavamzadeh, Shie Mannor
2015	J	`jnl`	Policy Gradient for Coherent Risk Measures. CoRR Aviv Tamar, Yinlam Chow, Mohammad Ghavamzadeh, Shie Mannor
2015	—	`ed.`	Proceedings of the 2nd International Workshop on Mining Urban Data co-located with 32nd International Conference on Machine Learning (ICML 2015), Lille, France, July 11th, 2015. MUD@ICML Ioannis Katakis, François Schnitzler, Thomas Liebig, Dimitrios Gunopulos, Katharina Morik, Gennady L. Andrienko, Shie Mannor
2015	J	`jnl`	Reinforcement Learning for the Unit Commitment Problem. CoRR Gal Dalal, Shie Mannor
2015	—	`conf`	Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach. NIPS Yinlam Chow, Aviv Tamar, Shie Mannor, Marco Pavone
2015	J	`jnl`	Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach. CoRR Yinlam Chow, Aviv Tamar, Shie Mannor, Marco Pavone
2015	A*	`conf`	Semantic locality and context-based prefetching using reinforcement learning. ISCA Leeor Peled, Shie Mannor, Uri C. Weiser, Yoav Etsion
2015	A	`conf`	Sensor Selection for Crowdsensing Dynamical Systems. AISTATS François Schnitzler, Jia Yuan Yu, Shie Mannor
2015	J	`jnl`	The Perturbed Variation. IEEE Trans. Pattern Anal. Mach. Intell. Maayan Harel, Shie Mannor
2015	A*	`conf`	Thompson Sampling for Learning Parameterized Markov Decision Processes. COLT Aditya Gopalan, Shie Mannor
2014	A*	`conf`	Approachability in unknown games: Online learning meets multi-objective optimization. COLT Shie Mannor, Vianney Perchet, Gilles Stoltz
2014	J	`jnl`	Approachability in unknown games: Online learning meets multi-objective optimization. CoRR Shie Mannor, Vianney Perchet, Gilles Stoltz
2014	—	`conf`	Combining a Gauss-Markov model and Gaussian process for traffic prediction in Dublin city center. EDBT/ICDT Workshops François Schnitzler, Thomas Liebig, Shie Mannor, Katharina Morik
2014	A*	`conf`	Concept Drift Detection Through Resampling. ICML Maayan Harel, Shie Mannor, Ran El-Yaniv, Koby Crammer
2014	—	`conf`	Concurrent Bandits and Cognitive Radio Networks. ECML/PKDD (1) Orly Avner, Shie Mannor
2014	J	`jnl`	Concurrent bandits and cognitive radio networks. CoRR Orly Avner, Shie Mannor
2014	J	`jnl`	Distributed Robust Learning. CoRR Jiashi Feng, Huan Xu, Shie Mannor
2014	—	`conf`	Energy-efficient gear-shift LDPC decoders. ASAP Kevin Cushon, Saied Hemati, Shie Mannor, Warren J. Gross
2014	J	`jnl`	Formation Games of Reliable Networks. CoRR Eli A. Meirom, Shie Mannor, Ariel Orda
2014	—	`conf`	Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights. ECML/PKDD (3) François Schnitzler, Alexander Artikis, Matthias Weidlich, Ioannis Boutsis, Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik, Vana Kalogeraki, Jakub Marecek, Avigdor Gal, Shie Mannor, Dermot Kinane, Dimitrios Gunopulos
2014	B	`conf`	Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management. EDBT Alexander Artikis, Matthias Weidlich, François Schnitzler, Ioannis Boutsis, Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik, Vana Kalogeraki, Jakub Marecek, Avigdor Gal, Shie Mannor, Dimitrios Gunopulos, Dermot Kinane
2014	J	`jnl`	High-Throughput Energy-Efficient LDPC Decoders Using Differential Binary Message Passing. IEEE Trans. Signal Process. Kevin Cushon, Saied Hemati, Camille Leroux, Shie Mannor, Warren J. Gross
2014	—	`conf`	How hard is my MDP?" The distribution-norm to the rescue". NIPS Odalric-Ambrym Maillard, Timothy A. Mann, Shie Mannor
2014	J	`jnl`	Implicit Temporal Differences. CoRR Aviv Tamar, Panos Toulis, Shie Mannor, Edoardo M. Airoldi
2014	A*	`conf`	Latent Bandits. ICML Odalric-Ambrym Maillard, Shie Mannor
2014	J	`jnl`	Localized epidemic detection in networks with overwhelming noise. CoRR Eli A. Meirom, Chris Milling, Constantine Caramanis, Shie Mannor, Ariel Orda, Sanjay Shakkottai
2014	A*	`conf`	Loop-Aware Memory Prefetching Using Code Block Working Sets. MICRO Adi Fuchs, Shie Mannor, Uri C. Weiser, Yoav Etsion
2014	A*	`conf`	Network formation games with heterogeneous players and the internet structure. EC Eli A. Meirom, Shie Mannor, Ariel Orda
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`	Opportunistic Approachability and Generalized No-Regret Problems. Math. Oper. Res. Andrey Bernstein, Shie Mannor, Nahum Shimkin
2014	J	`jnl`	Oracle-Based Robust Optimization via Online Learning. CoRR Aharon Ben-Tal, Elad Hazan, Tomer Koren, Shie Mannor
2014	J	`jnl`	Policy Gradients Beyond Expectations: Conditional Value-at-Risk. CoRR Aviv Tamar, Yonatan Glassner, Shie Mannor
2014	—	`conf`	Robust Logistic Regression and Classification. NIPS Jiashi Feng, Huan Xu, Shie Mannor, Shuicheng Yan
2014	A*	`conf`	Scaling Up Approximate Value Iteration with Options: Better Policies with Fewer Iterations. ICML Timothy A. Mann, Shie Mannor
2014	A*	`conf`	Scaling Up Robust MDPs using Function Approximation. ICML Aviv Tamar, Shie Mannor, Huan Xu
2014	J	`jnl`	Set-valued approachability and online learning with partial monitoring. J. Mach. Learn. Res. Shie Mannor, Vianney Perchet, Gilles Stoltz
2014	—	`conf`	Sub-sampling for Multi-armed Bandits. ECML/PKDD (1) Akram Baransi, Odalric-Ambrym Maillard, Shie Mannor
2014	A*	`conf`	Thompson Sampling for Complex Online Problems. ICML Aditya Gopalan, Shie Mannor, Yishay Mansour
2014	J	`jnl`	Thompson Sampling for Learning Parameterized MDPs. CoRR Aditya Gopalan, Shie Mannor
2014	A*	`conf`	Time-Regularized Interrupting Options (TRIO). ICML Timothy A. Mann, Daniel J. Mankowitz, Shie Mannor
2013	J	`jnl`	A Primal Condition for Approachability with Partial Monitoring CoRR Shie Mannor, Vianney Perchet, Gilles Stoltz
2013	J	`jnl`	A State Action Frequency Approach to Throughput Maximization over Uncertain Wireless Channels. Internet Math. Krishna P. Jagannathan, Shie Mannor, Ishai Menache, Eytan H. Modiano
2013	J	`jnl`	Algorithmic aspects of mean-variance optimization in Markov decision processes. Eur. J. Oper. Res. Shie Mannor, John N. Tsitsiklis
2013	A*	`conf`	Approachability, fast and slow. COLT Vianney Perchet, Shie Mannor
2013	B	`conf`	Detecting epidemics using highly noisy data. MobiHoc Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai
2013	J	`jnl`	Distinguishing Infections on Different Graph Topologies. CoRR Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai
2013	J	`jnl`	Dynamics in tree formation games. Games Econ. Behav. Esteban Arcaute, Kirill Dyagilev, Ramesh Johari, Shie Mannor
2013	J	`jnl`	Formation Games and the Internet Structure. CoRR Eli A. Meirom, Shie Mannor, Ariel Orda
2013	J	`jnl`	Generating storylines from sensor data. Pervasive Mob. Comput. Jordan Frank, Shie Mannor, Doina Precup
2013	—	`conf`	Learning Multiple Models via Regularized Weighting. NIPS Daniel Vainsencher, Shie Mannor, Huan Xu
2013	A*	`conf`	Model selection in markovian processes. KDD Assaf Hallak, Dotan Di Castro, Shie Mannor
2013	J	`jnl`	On information propagation in mobile call networks. Soc. Netw. Anal. Min. Kirill Dyagilev, Shie Mannor, Elad Yom-Tov
2013	J	`jnl`	Online Learning for Loss Functions with Memory and Applications to Statistical Arbitrage CoRR Oren Anava, Elad Hazan, Shie Mannor
2013	J	`jnl`	Online Learning for Time Series Prediction CoRR Oren Anava, Elad Hazan, Shie Mannor, Ohad Shamir
2013	A*	`conf`	Online Learning for Time Series Prediction. COLT Oren Anava, Elad Hazan, Shie Mannor, Ohad Shamir
2013	—	`conf`	Online PCA for Contaminated Data. NIPS Jiashi Feng, Huan Xu, Shie Mannor, Shuicheng Yan
2013	A*	`conf`	Opportunistic Strategies for Generalized No-Regret Problems. COLT Andrey Bernstein, Shie Mannor, Nahum Shimkin
2013	J	`jnl`	Outlier-Robust PCA: The High-Dimensional Case. IEEE Trans. Inf. Theory Huan Xu, Constantine Caramanis, Shie Mannor
2013	J	`jnl`	Policy Evaluation with Variance Related Risk Criteria in Markov Decision Processes CoRR Aviv Tamar, Dotan Di Castro, Shie Mannor
2013	—	`conf`	Reinforcement Learning in Robust Markov Decision Processes. NIPS Shiau Hong Lim, Huan Xu, Shie Mannor
2013	J	`jnl`	Relaxed Half-Stochastic Belief Propagation. IEEE Trans. Commun. François Leduc-Primeau, Saied Hemati, Shie Mannor, Warren J. Gross
2013	J	`jnl`	Robust High Dimensional Sparse Regression and Matching Pursuit CoRR Yudong Chen, Constantine Caramanis, Shie Mannor
2013	—	`conf`	Robust Sparse Regression under Adversarial Corruption. ICML (3) Yudong Chen, Constantine Caramanis, Shie Mannor
2013	J	`jnl`	Scaling Up Robust MDPs by Reinforcement Learning. CoRR Aviv Tamar, Huan Xu, Shie Mannor
2013	J	`jnl`	Stochastic Decoding of LDPC Codes over GF(q). IEEE Trans. Commun. Gabi Sarkis, Saied Hemati, Shie Mannor, Warren J. Gross
2013	—	`conf`	Temporal Difference Methods for the Variance of the Reward To Go. ICML (3) Aviv Tamar, Dotan Di Castro, Shie Mannor
2013	J	`jnl`	Thompson Sampling for Complex Bandit Problems. CoRR Aditya Gopalan, Shie Mannor, Yishay Mansour
2013	J	`jnl`	Time Series Analysis Using Geometric Template Matching. IEEE Trans. Pattern Anal. Mach. Intell. Jordan Frank, Shie Mannor, Joelle Pineau, Doina Precup
2013	J	`jnl`	Variance Adjusted Actor Critic Algorithms. CoRR Aviv Tamar, Shie Mannor
2012	J	`jnl`	A Distributional Interpretation of Robust Optimization. Math. Oper. Res. Huan Xu, Constantine Caramanis, Shie Mannor
2012	J	`jnl`	Approximately optimal bidding policies for repeated first-price auctions. Ann. Oper. Res. Amir Danak, Shie Mannor
2012	—	`ch.`	Bayesian Reinforcement Learning. Reinforcement Learning Nikos Vlassis, Mohammad Ghavamzadeh, Shie Mannor, Pascal Poupart
2012	A*	`ed.`	COLT 2012 - The 25th Annual Conference on Learning Theory, June 25-27, 2012, Edinburgh, Scotland COLT Shie Mannor, Nathan Srebro, Robert C. Williamson
2012	J	`jnl`	Clustered Bandits CoRR Loc Bui, Ramesh Johari, Shie Mannor
2012	J	`jnl`	Decoupling Exploration and Exploitation in Multi-Armed Bandits CoRR Orly Avner, Shie Mannor, Ohad Shamir
2012	A*	`conf`	Decoupling Exploration and Exploitation in Multi-Armed Bandits. ICML Orly Avner, Shie Mannor, Ohad Shamir
2012	J	`jnl`	Distributionally Robust Markov Decision Processes. Math. Oper. Res. Huan Xu, Shie Mannor
2012	J	`jnl`	Dithered Belief Propagation Decoding. IEEE Trans. Commun. François Leduc-Primeau, Saied Hemati, Shie Mannor, Warren J. Gross
2012	—	`conf`	Duality of ancillary services and intermittent suppliers. CDC Arman C. Kizilkale, Shie Mannor
2012	J	`jnl`	How to sample if you must: on optimal functional sampling CoRR Assaf Hallak, Shie Mannor
2012	—	`conf`	Joint Stochastic Decoding of LDPC Codes and Partial-Response Channels. SiPS Saeed Sharifi Tehrani, Paul H. Siegel, Shie Mannor, Warren J. Gross
2012	—	`conf`	Large scale real-time bidding in the smart grid: A mean field framework. CDC Arman C. Kizilkale, Shie Mannor, Peter E. Caines
2012	J	`jnl`	Lightning Does Not Strike Twice: Robust MDPs with Coupled Uncertainty CoRR Shie Mannor, Ofir Mebel, Huan Xu
2012	A*	`conf`	Lightning Does Not Strike Twice: Robust MDPs with Coupled Uncertainty. ICML Shie Mannor, Ofir Mebel, Huan Xu
2012	C	`conf`	More Is Better: Large Scale Partially-supervised Sentiment Classication. ACML Yoav Haimovitch, Koby Crammer, Shie Mannor
2012	J	`jnl`	More Is Better: Large Scale Partially-supervised Sentiment Classification - Appendix CoRR Yoav Haimovitch, Koby Crammer, Shie Mannor
2012	A*	`conf`	Network forensics: random infection vs spreading epidemic. SIGMETRICS Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai
2012	—	`conf`	On identifying the causative network of an epidemic. Allerton Conference Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai
2012	J	`jnl`	Optimization Under Probabilistic Envelope Constraints. Oper. Res. Huan Xu, Constantine Caramanis, Shie Mannor
2012	A*	`conf`	Policy Gradients with Variance Related Risk Criteria. ICML Dotan Di Castro, Aviv Tamar, Shie Mannor
2012	A*	`conf`	Preface. COLT Shie Mannor, Nathan Srebro
2012	J	`jnl`	Relaxed Half-Stochastic Belief Propagation CoRR François Leduc-Primeau, Saied Hemati, Shie Mannor, Warren J. Gross
2012	J	`jnl`	Robustness and generalization. Mach. Learn. Huan Xu, Shie Mannor
2012	J	`jnl`	Sparse Algorithms Are Not Stable: A No-Free-Lunch Theorem. IEEE Trans. Pattern Anal. Mach. Intell. Huan Xu, Constantine Caramanis, Shie Mannor
2012	A	`conf`	Statistical Optimization in High Dimensions. AISTATS Huan Xu, Constantine Caramanis, Shie Mannor
2012	J	`jnl`	The Perturbed Variation CoRR Maayan Harel, Shie Mannor
2012	—	`conf`	The Perturbed Variation. NIPS Maayan Harel, Shie Mannor
2011	J	`jnl`	A Robust Learning Approach to Repeated Auctions With Monitoring and Entry Fees. IEEE Trans. Comput. Intell. AI Games Amir Danak, Shie Mannor
2011	A*	`conf`	A state action frequency approach to throughput maximization over uncertain wireless channels. INFOCOM Krishna P. Jagannathan, Shie Mannor, Ishai Menache, Eytan H. Modiano
2011	—	`conf`	Activity Recognition with Mobile Phones. ECML/PKDD (3) Jordan Frank, Shie Mannor, Doina Precup
2011	—	`conf`	Activity Recognition with Time-Delay Emobeddings. AAAI Spring Symposium: Computational Physiology Jordan Frank, Shie Mannor, Doina Precup
2011	J	`jnl`	Bandits with an Edge CoRR Dotan Di Castro, Claudio Gentile, Shie Mannor
2011	A*	`conf`	Bundle Selling by Online Estimation of Valuation Functions. ICML Daniel Vainsencher, Ofer Dekel, Shie Mannor
2011	—	`conf`	Committing Bandits. NIPS Loc Bui, Ramesh Johari, Shie Mannor
2011	J	`jnl`	Delayed Stochastic Decoding of LDPC Codes. IEEE Trans. Signal Process. Ali Naderi, Shie Mannor, Mohamad Sawan, Warren J. Gross
2011	A*	`conf`	Does an Efficient Calibrated Forecasting Strategy Exist? COLT Jacob D. Abernethy, Shie Mannor
2011	J	`jnl`	Efficient Bidding in Dynamic Grid Markets. IEEE Trans. Parallel Distributed Syst. Amir Danak, Shie Mannor
2011	J	`jnl`	From Bandits to Experts: On the Value of Side-Observations CoRR Shie Mannor, Ohad Shamir
2011	—	`conf`	From Bandits to Experts: On the Value of Side-Observations. NIPS Shie Mannor, Ohad Shamir
2011	A*	`conf`	Learning from Multiple Outlooks. ICML Maayan Harel, Shie Mannor
2011	J	`jnl`	Mean-Variance Optimization in Markov Decision Processes CoRR Shie Mannor, John N. Tsitsiklis
2011	A*	`conf`	Mean-Variance Optimization in Markov Decision Processes. ICML Shie Mannor, John N. Tsitsiklis
2011	A*	`conf`	Probabilistic Goal Markov Decision Processes. IJCAI Huan Xu, Shie Mannor
2011	—	`conf`	Regulation and double price mechanisms in markets with friction. CDC/ECC Arman C. Kizilkale, Shie Mannor
2011	J	`jnl`	Regulation, Volatility and Efficiency in Continuous-Time Markets CoRR Arman C. Kizilkale, Shie Mannor
2011	J	`jnl`	Robust approachability and regret minimization in games with partial monitoring CoRR Shie Mannor, Vianney Perchet, Gilles Stoltz
2011	A*	`conf`	Robust approachability and regret minimization in games with partial monitoring. COLT Shie Mannor, Vianney Perchet, Gilles Stoltz
2011	—	`conf`	Stochastic bandits with pathwise constraints. CDC/ECC Orly Avner, Shie Mannor
2011	A*	`conf`	The Sample Complexity of Dictionary Learning. COLT Daniel Vainsencher, Shie Mannor, Alfred M. Bruckstein
2011	J	`jnl`	The Sample Complexity of Dictionary Learning. J. Mach. Learn. Res. Daniel Vainsencher, Shie Mannor, Alfred M. Bruckstein
2011	J	`jnl`	Tracking Forecast Memories for Stochastic Decoding. J. Signal Process. Syst. Saeed Sharifi Tehrani, Ali Naderi, Guy-Armand Kamendje, Shie Mannor, Warren J. Gross
2011	A*	`conf`	Unimodal Bandits. ICML Jia Yuan Yu, Shie Mannor
2010	J	`jnl`	A Geometric Proof of Calibration. Math. Oper. Res. Shie Mannor, Gilles Stoltz
2010	J	`jnl`	A Min-Sum Iterative Decoder Based on Pulsewidth Message Encoding. IEEE Trans. Circuits Syst. II Express Briefs Kevin Cushon, Camille Leroux, Saied Hemati, Shie Mannor, Warren J. Gross
2010	—	`conf`	A distributional interpretation of robust optimization. Allerton Huan Xu, Constantine Caramanis, Shie Mannor
2010	—	`conf`	A novel similarity measure for time series data with applications to gait and activity recognition. UbiComp (Adjunct Papers) Jordan Frank, Shie Mannor, Doina Precup
2010	A*	`conf`	Activity and Gait Recognition with Time-Delay Embeddings. AAAI Jordan Frank, Shie Mannor, Doina Precup
2010	J	`jnl`	Adaptive Bases for Reinforcement Learning CoRR Dotan Di Castro, Shie Mannor
2010	—	`conf`	Adaptive Bases for Reinforcement Learning. ECML/PKDD (1) Dotan Di Castro, Shie Mannor
2010	—	`conf`	Adaptive bases for Q-learning. CDC Dotan Di Castro, Shie Mannor
2010	—	`conf`	Distributionally Robust Markov Decision Processes. NIPS Huan Xu, Shie Mannor
2010	—	`conf`	Generative models for rapid information propagation. SOMA@KDD Kirill Dyagilev, Shie Mannor, Elad Yom-Tov
2010	J	`jnl`	Learning from Multiple Outlooks CoRR Maayan Gal-on, Shie Mannor
2010	A*	`conf`	Learning with Global Cost in Stochastic Environments. COLT Eyal Even-Dar, Shie Mannor, Yishay Mansour
2010	B	`conf`	Lowering Error Floors Using Dithered Belief Propagation. GLOBECOM François Leduc-Primeau, Saied Hemati, Shie Mannor, Warren J. Gross
2010	J	`jnl`	Majority-based tracking forecast memories for stochastic LDPC decoding. IEEE Trans. Signal Process. Saeed Sharifi Tehrani, Ali Naderi, Guy-Armand Kamendje, Saied Hemati, Shie Mannor, Warren J. Gross
2010	—	`conf`	Online Classification with Specificity Constraints. NIPS Andrey Bernstein, Shie Mannor, Nahum Shimkin
2010	J	`jnl`	Percentile Optimization for Markov Decision Processes with Parameter Uncertainty. Oper. Res. Erick Delage, Shie Mannor
2010	A*	`conf`	Principal Component Analysis with Contaminated Data: The High Dimensional Case. COLT Huan Xu, Constantine Caramanis, Shie Mannor
2010	J	`jnl`	Principal Component Analysis with Contaminated Data: The High Dimensional Case. CoRR Huan Xu, Constantine Caramanis, Shie Mannor
2010	—	`conf`	Regulation and efficiency in markets with friction. CDC Arman C. Kizilkale, Shie Mannor
2010	J	`jnl`	Relaxation dynamics in stochastic iterative decoders. IEEE Trans. Signal Process. Saeed Sharifi Tehrani, Chris Winstead, Warren J. Gross, Shie Mannor, Sheryl L. Howard, Vincent C. Gaudet
2010	—	`conf`	Relaxed half-stochastic decoding of LDPC codes over GF(q). Allerton Gabi Sarkis, Saied Hemati, Shie Mannor, Warren J. Gross
2010	A	`conf`	Resource Allocation with Supply Adjustment in Distributed Computing Systems. ICDCS Amir Danak, Shie Mannor
2010	J	`jnl`	Robust regression and Lasso. IEEE Trans. Inf. Theory Huan Xu, Constantine Caramanis, Shie Mannor
2010	J	`jnl`	Robustness and Generalization CoRR Huan Xu, Shie Mannor
2010	A*	`conf`	Robustness and Generalization. COLT Huan Xu, Shie Mannor
2010	J	`jnl`	Stochastic Chase Decoding of Reed-Solomon Codes. IEEE Commun. Lett. Camille Leroux, Saied Hemati, Shie Mannor, Warren J. Gross
2010	J	`jnl`	The Sample Complexity of Dictionary Learning CoRR Daniel Vainsencher, Shie Mannor, Alfred M. Bruckstein
2010	—	`conf`	Tutor learning using linear constraints in approximate dynamic programming. Allerton Dotan Di Castro, Shie Mannor
2010	—	`conf`	Volatility and efficiency in markets with friction. Allerton Arman C. Kizilkale, Shie Mannor
2009	J	`jnl`	A Kalman Filter Design Based on the Performance/Robustness Tradeoff. IEEE Trans. Autom. Control. Huan Xu, Shie Mannor
2009	B	`conf`	A Relaxed Half-Stochastic Iterative Decoder for LDPC Codes. GLOBECOM François Leduc-Primeau, Saied Hemati, Warren J. Gross, Shie Mannor
2009	J	`jnl`	Approachability in repeated games: Computational aspects and a Stackelberg variant. Games Econ. Behav. Shie Mannor, John N. Tsitsiklis
2009	—	`conf`	Arbitrarily modulated Markov decision processes. CDC Jia Yuan Yu, Shie Mannor
2009	—	`conf`	Bidding efficiently in repeated auctions with entry and observation costs. GAMENETS Amir Danak, Shie Mannor
2009	—	`conf`	Bidirectional interleavers for LDPC decoders using transmission gates. SiPS Kevin Cushon, Warren J. Gross, Shie Mannor
2009	B	`conf`	High dimensional Principal Component Analysis with contaminated data. ITW Huan Xu, Constantine Caramanis, Shie Mannor
2009	J	`jnl`	Markov Decision Processes with Arbitrary Reward Processes. Math. Oper. Res. Jia Yuan Yu, Shie Mannor, Nahum Shimkin
2009	J	`jnl`	Network Formation: Bilateral Contracting and Myopic Dynamics. IEEE Trans. Autom. Control. Esteban Arcaute, Ramesh Johari, Shie Mannor
2009	A*	`conf`	Online Learning for Global Cost Functions. COLT Eyal Even-Dar, Robert Kleinberg, Shie Mannor, Yishay Mansour
2009	J	`jnl`	Online Learning with Sample Path Constraints. J. Mach. Learn. Res. Shie Mannor, John N. Tsitsiklis, Jia Yuan Yu
2009	—	`conf`	Online learning in Markov decision processes with arbitrarily changing rewards and transitions. GAMENETS Jia Yuan Yu, Shie Mannor
2009	—	`conf`	Parametric regret in uncertain Markov decision processes. CDC Huan Xu, Shie Mannor
2009	A*	`conf`	Piecewise-stationary bandit problems with side observations. ICML Jia Yuan Yu, Shie Mannor
2009	C	`conf`	Regularized Fitted Q-Iteration for planning in continuous-space Markovian decision problems. ACC Amir Massoud Farahmand, Mohammad Ghavamzadeh, Csaba Szepesvári, Shie Mannor
2009	—	`conf`	Risk sensitive robust support vector machines. CDC Huan Xu, Constantine Caramanis, Shie Mannor, Sungho Yun
2009	J	`jnl`	Robustness and Regularization of Support Vector Machines. J. Mach. Learn. Res. Huan Xu, Constantine Caramanis, Shie Mannor
2009	—	`conf`	Stochastic Decoding of LDPC Codes over GF(q). ICC Gabi Sarkis, Shie Mannor, Warren J. Gross
2009	Misc	`conf`	Tracking Forecast Memories in stochastic decoders. ICASSP Saeed Sharifi Tehrani, Ali Naderi, Guy-Armand Kamendje, Shie Mannor, Warren J. Gross
2008	Misc	`conf`	A Lazy Approach to Online Learning with Constraints. ISAIM Branislav Kveton, Jia Yuan Yu, Georgios Theocharous, Shie Mannor
2008	—	`conf`	Efficient Reinforcement Learning in Parameterized Models: Discrete Parameter Case. EWRL Kirill Dyagilev, Shie Mannor, Nahum Shimkin
2008	—	`conf`	Efficient reinforcement learning in parameterized models: discrete parameters. VALUETOOLS Kirill Dyagilev, Shie Mannor, Nahum Shimkin
2008	J	`jnl`	Fully Parallel Stochastic LDPC Decoders. IEEE Trans. Signal Process. Saeed Sharifi Tehrani, Shie Mannor, Warren J. Gross
2008	A*	`conf`	Learning in the Limit with Adversarial Disturbances. COLT Constantine Caramanis, Shie Mannor
2008	—	`conf`	Local Two-Stage Myopic Dynamics for Network Formation Games. WINE Esteban Arcaute, Ramesh Johari, Shie Mannor
2008	—	`conf`	Local dynamics for network formation games. Allerton Esteban Arcaute, Ramesh Johari, Shie Mannor
2008	—	`conf`	Markov Decision Processes with Arbitrary Reward Processes. EWRL Jia Yuan Yu, Shie Mannor, Nahum Shimkin
2008	A*	`conf`	Online Learning with Expert Advice and Finite-Horizon Constraints. AAAI Branislav Kveton, Jia Yuan Yu, Georgios Theocharous, Shie Mannor
2008	J	`jnl`	Regret minimization in repeated matrix games with variable stage duration. Games Econ. Behav. Shie Mannor, Nahum Shimkin
2008	—	`conf`	Regularized Fitted Q-Iteration: Application to Planning. EWRL Amir Massoud Farahmand, Mohammad Ghavamzadeh, Csaba Szepesvári, Shie Mannor
2008	—	`conf`	Regularized Policy Iteration. NIPS Amir Massoud Farahmand, Mohammad Ghavamzadeh, Csaba Szepesvári, Shie Mannor
2008	A*	`conf`	Reinforcement learning in the presence of rare events. ICML Jordan Frank, Shie Mannor, Doina Precup
2008	J	`jnl`	Robust Regression and Lasso CoRR Huan Xu, Constantine Caramanis, Shie Mannor
2008	—	`conf`	Robust Regression and Lasso. NIPS Huan Xu, Constantine Caramanis, Shie Mannor
2008	—	`conf`	Robust dimensionality reduction for high-dimension data. Allerton Huan Xu, Constantine Caramanis, Shie Mannor
2008	J	`jnl`	Robustness, Risk, and Regularization in Support Vector Machines CoRR Huan Xu, Shie Mannor, Constantine Caramanis
2008	—	`conf`	Sparse algorithms are not stable: A no-free-lunch theorem. Allerton Huan Xu, Shie Mannor, Constantine Caramanis
2008	J	`jnl`	Strategies for Prediction Under Imperfect Monitoring. Math. Oper. Res. Gábor Lugosi, Shie Mannor, Gilles Stoltz
2007	A*	`conf`	Adaptive Timeout Policies for Fast Fine-Grained Power Management. AAAI Branislav Kveton, Prashant Gandhi, Georgios Theocharous, Shie Mannor, Barbara Rosario, Nilesh Shah
2007	—	`conf`	An Area-Efficient FPGA-Based Architecture for Fully-Parallel Stochastic LDPC Decoding. SiPS Saeed Sharifi Tehrani, Shie Mannor, Warren J. Gross
2007	J	`jnl`	An Inequality for Nearly Log-Concave Distributions With Applications to Learning. IEEE Trans. Inf. Theory Constantine Caramanis, Shie Mannor
2007	J	`jnl`	Bias and Variance Approximation in Value Function Estimates. Manag. Sci. Shie Mannor, Duncan Simester, Peng Sun, John N. Tsitsiklis
2007	—	`conf`	Dynamics and stability in network formation games with bilateral contracts. CDC Esteban Arcaute, Eric Dallal, Ramesh Johari, Shie Mannor
2007	J	`jnl`	Efficiency of Market-Based Resource Allocation among Many Participants. IEEE J. Sel. Areas Commun. Jia Yuan Yu, Shie Mannor
2007	J	`jnl`	Multi-agent learning for engineers. Artif. Intell. Shie Mannor, Jeff S. Shamma
2007	—	`conf`	Network Formation: Bilateral Contracting and Myopic Dynamics. WINE Esteban Arcaute, Ramesh Johari, Shie Mannor
2007	B	`conf`	Non-Cooperative Design of Translucent Networks. GLOBECOM Benoît Châtelain, Shie Mannor, François Gagnon, David V. Plant
2007	J	`jnl`	Online calibrated forecasts: Memory efficiency versus universality for learning in games. Mach. Learn. Shie Mannor, Jeff S. Shamma, Gürdal Arslan
2007	A*	`conf`	Percentile optimization in uncertain Markov decision processes with application to efficient exploration. ICML Erick Delage, Shie Mannor
2007	B	`conf`	Reinforcement Learning-Based Load Shared Sequential Routing. Networking Fariba Heidari, Shie Mannor, Lorne Mason
2007	A*	`conf`	Strategies for Prediction Under Imperfect Monitoring. COLT Gábor Lugosi, Shie Mannor, Gilles Stoltz
2007	J	`jnl`	Strategies for prediction under imperfect monitoring CoRR Gábor Lugosi, Shie Mannor, Gilles Stoltz
2007	—	`conf`	Survey of Stochastic Computation on Factor Graphs. ISMVL Saeed Sharifi Tehrani, Shie Mannor, Warren J. Gross
2007	A*	`conf`	User Model and Utility Based Power Management. AAAI Chih-Han Yu, Shie Mannor, Georgios Theocharous, Avi Pfeffer
2006	J	`jnl`	A contract-based model for directed network formation. Games Econ. Behav. Ramesh Johari, Shie Mannor, John N. Tsitsiklis
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`	Asymptotics of Efficiency Loss in Competitive Market Mechanisms. INFOCOM Jia Yuan Yu, Shie Mannor
2006	A*	`conf`	Automatic basis function construction for approximate dynamic programming and reinforcement learning. ICML Philipp W. Keller, Shie Mannor, Doina Precup
2006	C	`conf`	Design of l1-Optimal Controllers with Flexible Disturbance Rejection Level. ACC Patrick Cadotte, Shie Mannor, Hannah Michalska, Benoit Boulet
2006	J	`jnl`	Design of ℓ IEEE Trans. Autom. Control. Patrick Cadotte, Shie Mannor, Hannah Michalska, Benoit Boulet
2006	A*	`conf`	Online Learning with Constraints. COLT Shie Mannor, John N. Tsitsiklis
2006	A*	`conf`	Online Learning with Variable Stage Duration. COLT Shie Mannor, Nahum Shimkin
2006	J	`jnl`	Stochastic decoding of LDPC codes. IEEE Commun. Lett. Saeed Sharifi Tehrani, Warren J. Gross, Shie Mannor
2006	—	`conf`	The Robustness-Performance Tradeoff in Markov Decision Processes. NIPS Huan Xu, Shie Mannor
2005	J	`jnl`	A Tutorial on the Cross-Entropy Method. Ann. Oper. Res. Pieter-Tjerk de Boer, Dirk P. Kroese, Shie Mannor, Reuven Y. Rubinstein
2005	J	`jnl`	Basis Function Adaptation in Temporal Difference Reinforcement Learning. Ann. Oper. Res. Ishai Menache, Shie Mannor, Nahum Shimkin
2005	J	`jnl`	Efficiency Loss in a Network Resource Allocation Game: The Case of Elastic Supply CoRR Ramesh Johari, Shie Mannor, John N. Tsitsiklis
2005	J	`jnl`	Efficiency loss in a network resource allocation game: the case of elastic supply. IEEE Trans. Autom. Control. Ramesh Johari, Shie Mannor, John N. Tsitsiklis
2005	J	`jnl`	On the Empirical State-Action Frequencies in Markov Decision Processes Under General Policies. Math. Oper. Res. Shie Mannor, John N. Tsitsiklis
2005	A*	`conf`	Reinforcement learning with Gaussian processes. ICML Yaakov Engel, Shie Mannor, Ron Meir
2005	J	`jnl`	The Workshop Program at the Nineteenth National Conference on Artificial Intelligence. AI Mag. Ion Muslea, Virginia Dignum, Daniel D. Corkill, Catholijn M. Jonker, Frank Dignum, Silvia Coradeschi, Alessandro Saffiotti, Dan Fu, Jeff Orkin, William Cheetham, Kai Goebel, Piero P. Bonissone, Leen-Kiat Soh, Randolph M. Jones, Robert E. Wray III, Matthias Scheutz, Daniela Pucci de Farias, Shie Mannor, Georgios Theocharous, Doina Precup, Bamshad Mobasher, Sarabjot S. Anand, Bettina Berendt, Andreas Hotho, Hans W. Guesgen, Michael T. Rosenstein, Mohammad Ghavamzadeh
2005	A*	`conf`	The cross entropy method for classification. ICML Shie Mannor, Dori Peleg, Reuven Y. Rubinstein
2004	J	`jnl`	A Geometric Approach to Multi-Criterion Reinforcement Learning. J. Mach. Learn. Res. Shie Mannor, Nahum Shimkin
2004	A*	`conf`	An Inequality for Nearly Log-Concave Distributions with Applications to Learning. COLT Constantine Caramanis, Shie Mannor
2004	A*	`conf`	Bias and variance in value function estimation. ICML Shie Mannor, Duncan Simester, Peng Sun, John N. Tsitsiklis
2004	A*	`conf`	Dynamic abstraction in reinforcement learning via clustering. ICML Shie Mannor, Ishai Menache, Amit Hoze, Uri Klein
2004	—	`conf`	Efficiency loss in a resource allocation game: A single link in elastic supply. CDC Ramesh Johari, Shie Mannor, John N. Tsitsiklis
2004	A*	`conf`	Reinforcement Learning for Average Reward Zero-Sum Games. COLT Shie Mannor
2004	J	`jnl`	The Sample Complexity of Exploration in the Multi-Armed Bandit Problem. J. Mach. Learn. Res. Shie Mannor, John N. Tsitsiklis
2004	J	`jnl`	The kernel recursive least-squares algorithm. IEEE Trans. Signal Process. Yaakov Engel, Shie Mannor, Ron Meir
2003	A*	`conf`	Action Elimination and Stopping Conditions for Reinforcement Learning. ICML Eyal Even-Dar, Shie Mannor, Yishay Mansour
2003	A*	`conf`	Bayes Meets Bellman: The Gaussian Process Approach to Temporal Difference Learning. ICML Yaakov Engel, Shie Mannor, Ron Meir
2003	J	`jnl`	Greedy Algorithms for Classification -- Consistency, Convergence Rates, and Adaptivity. J. Mach. Learn. Res. Shie Mannor, Ron Meir, Tong Zhang
2003	A*	`conf`	Lower Bounds on the Sample Complexity of Exploration in the Multi-armed Bandit Problem. COLT Shie Mannor, John N. Tsitsiklis
2003	A*	`conf`	On-Line Learning with Imperfect Monitoring. COLT Shie Mannor, Nahum Shimkin
2003	A*	`conf`	The Cross Entropy Method for Fast Policy Search. ICML Shie Mannor, Reuven Y. Rubinstein, Yohai Gat
2003	J	`jnl`	The Empirical Bayes Envelope and Regret Minimization in Competitive Markov Decision Processes. Math. Oper. Res. Shie Mannor, Nahum Shimkin
2002	J	`jnl`	On the Existence of Linear Weak Learners and Applications to Boosting. Mach. Learn. Shie Mannor, Ron Meir
2002	A*	`conf`	PAC Bounds for Multi-armed Bandit and Markov Decision Processes. COLT Eyal Even-Dar, Shie Mannor, Yishay Mansour
2002	—	`conf`	Q-Cut - Dynamic Discovery of Sub-goals in Reinforcement Learning. ECML Ishai Menache, Shie Mannor, Nahum Shimkin
2002	—	`conf`	Sparse Online Greedy Support Vector Regression. ECML Yaakov Engel, Shie Mannor, Ron Meir
2002	A*	`conf`	The Consistency of Greedy Algorithms for Classification. COLT Shie Mannor, Ron Meir, Tong Zhang
2001	—	`conf`	Adaptive Strategies and Regret Minimization in Arbitrarily Varying Markov Environments. COLT/EuroCOLT Shie Mannor, Nahum Shimkin
2001	—	`conf`	Geometric Bounds for Generalization in Boosting. COLT/EuroCOLT Shie Mannor, Ron Meir
2001	A*	`conf`	Learning Embedded Maps of Markov Processes. ICML Yaakov Engel, Shie Mannor
2001	—	`conf`	The Steering Approach for Multi-Criteria Reinforcement Learning. NIPS Shie Mannor, Nahum Shimkin
2000	—	`conf`	Weak Learners and Improved Rates of Convergence in Boosting. NIPS Shie Mannor, Ron Meir