Shie Mannor

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

168

Venues

Active years

2001–2025

Best venue rank

Where they publish

Papers

168 indexed papers, newest first.

Year	Venue	Title	Authors
2025	CVPR	RL-RC-DoT: A Block-level RL agent for Task-Aware Video Compression.	Uri Gadot, Assaf Shocher, Shie Mannor, Gal Chechik, Assaf Hallak
2025	ICLR	Global Convergence of Policy Gradient in Average Reward MDPs.	Navdeep Kumar, Yashaswini Murthy, Itai Shufaro, Kfir Yehuda Levy, R. Srikant, Shie Mannor
2025	ICLR	On Bits and Bandits: Quantifying the Regret-Information Trade-off.	Itai Shufaro, Nadav Merlis, Nir Weinberger, Shie Mannor
2025	ICML	Policy Gradient with Tree Expansion.	Gal Dalal, Assaf Hallak, Gugan Thoppe, Shie Mannor, Gal Chechik
2025	ICML	Reinforcement Learning with Segment Feedback.	Yihan Du, Anna Winnicki, Gal Dalal, Shie Mannor, R. Srikant
2025	ICML	A Classification View on Meta Learning Bandits.	Mirco Mutti, Jeongyeol Kwon, Shie Mannor, Aviv Tamar
2024	AAAI	Solving Non-rectangular Reward-Robust MDPs via Frequency Regularization.	Uri Gadot, Esther Derman, Navdeep Kumar, Maxence Mohamed Elfatihi, Kfir Levy, Shie Mannor
2024	ECCV	PlaMo: Plan and Move in Rich 3D Physical Environments.	Assaf Hallak, Gal Dalal, Chen Tessler, Kelly Guo, Shie Mannor, Gal Chechik
2024	ICLR	Policy Gradient with Tree Search (PGTS) in Reinforcement Learning Evades Local Maxima.	Navdeep Kumar, Priyank Agrawal, Kfir Yehuda Levy, Shie Mannor
2024	ICLR	Towards Faster Global Convergence of Robust Policy Gradient Methods.	Navdeep Kumar, Ilnura Usmanova, Kfir Yehuda Levy, Shie Mannor
2024	ICLR	Learning the Uncertainty Set in Robust Markov Decision Process.	Navdeep Kumar, Kaixin Wang, Uri Gadot, Kfir Yehuda Levy, Shie Mannor
2024	ICLR	Policy Gradient for Reinforcement Learning with General Utilities.	Navdeep Kumar, Kaixin Wang, Utkarsh Pratiush, Kfir Yehuda Levy, Shie Mannor
2024	ICLR	Tree Search-Based Policy Optimization under Stochastic Execution Delay.	David Valensi, Esther Derman, Shie Mannor, Gal Dalal
2024	ICML	Improving Token-Based World Models with Parallel Observation Prediction.	Lior Cohen, Kaixin Wang, Bingyi Kang, Shie Mannor
2024	ICML	Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization.	Yihan Du, Anna Winnicki, Gal Dalal, Shie Mannor, R. Srikant
2024	ICML	Bring Your Own (Non-Robust) Algorithm to Solve Robust MDPs by Estimating The Worst Kernel.	Uri Gadot, Kaixin Wang, Navdeep Kumar, Kfir Yehuda Levy, Shie Mannor
2024	ICML	Sobolev Space Regularised Pre Density Models.	Mark Kozdoba, Binyamin Perets, Shie Mannor
2024	ICML	Efficient Value Iteration for s-rectangular Robust Markov Decision Processes.	Navdeep Kumar, Kaixin Wang, Kfir Yehuda Levy, Shie Mannor
2024	ICML	Prospective Side Information for Latent MDPs.	Jeongyeol Kwon, Yonathan Efroni, Shie Mannor, Constantine Caramanis
2023	AAAI	Planning and Learning with Adaptive Lookahead.	Aviv Rosenberg, Assaf Hallak, Shie Mannor, Gal Chechik, Gal Dalal
2023	CCGRID	Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs.	Benjamin Fuhrer, Yuval Shpigelman, Chen Tessler, Shie Mannor, Gal Chechik, Eitan Zahavi, Gal Dalal
2023	ICML	Learning to Initiate and Reason in Event-Driven Cascading Processes.	Yuval Atzmon, Eli A. Meirom, Shie Mannor, Gal Chechik
2023	ICML	Reward-Mixing MDPs with Few Latent Contexts are Learnable.	Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
2023	ICML	Representation-Driven Reinforcement Learning.	Ofir Nabati, Guy Tennenholtz, Shie Mannor
2023	ICML	Learning Hidden Markov Models When the Locations of Missing Observations are Unknown.	Binyamin Perets, Mark Kozdoba, Shie Mannor
2023	ICML	PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient.	Kaixin Wang, Daquan Zhou, Jiashi Feng, Shie Mannor
2023	SIGGRAPH	CALM: Conditional Adversarial Latent Models for Directable Virtual Characters.	Chen Tessler, Yoni Kasten, Yunrong Guo, Shie Mannor, Gal Chechik, Xue Bin Peng
2022	AAAI	Online Apprenticeship Learning.	Lior Shani, Tom Zahavy, Shie Mannor
2022	AAAI	Reinforcement Learning for Datacenter Congestion Control.	Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor
2022	AAAI	Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning.	Roy Zohar, Shie Mannor, Guy Tennenholtz
2022	CoRL	DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles.	Pter Karkus, Boris Ivanovic, Shie Mannor, Marco Pavone
2022	ICINCO	Reinforcement Learning for Extended Intelligence.	Shie Mannor
2022	ICLR	On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning.	Guy Tennenholtz, Assaf Hallak, Gal Dalal, Shie Mannor, Gal Chechik, Uri Shalit
2022	ICML	Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms.	Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
2022	ICML	Optimizing Tensor Network Contraction Using Reinforcement Learning.	Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik
2022	ICML	Analysis of Stochastic Processes through Replay Buffers.	Shirli Di-Castro Shashua, Shie Mannor, Dotan Di Castro
2022	ICML	The Geometry of Robust Value Functions.	Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor
2022	ICML	Actor-Critic based Improper Reinforcement Learning.	Mohammadi Zaki, Avi Mohan, Aditya Gopalan, Shie Mannor
2021	AAAI	Reinforcement Learning with Trajectory Feedback.	Yonathan Efroni, Nadav Merlis, Shie Mannor
2021	AAAI	Lenient Regret for Multi-Armed Bandits.	Nadav Merlis, Shie Mannor
2021	CVPR	Over-the-Air Adversarial Flickering Attacks Against Video Recognition Networks.	Roi Pony, Itay Naeh, Shie Mannor
2021	ICLR	Acting in Delayed Environments with Non-Stationary Markov Policies.	Esther Derman, Gal Dalal, Shie Mannor
2021	ICLR	Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning.	Shauharda Khadka, Estelle Aflalo, Mattias Marder, Avrech Ben-David, Santiago Miret, Shie Mannor, Tamir Hazan, Hanlin Tang, Somdeb Majumdar
2021	ICML	Confidence-Budget Matching for Sequential Budgeted Learning.	Yonathan Efroni, Nadav Merlis, Aadirupa Saha, Shie Mannor
2021	ICML	Detecting Rewards Deterioration in Episodic Reinforcement Learning.	Ido Greenberg, Shie Mannor
2021	ICML	Value Iteration in Continuous Actions, States and Time.	Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg
2021	ICML	Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks.	Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik
2021	ICML	Online Limited Memory Neural-Linear Bandits with Likelihood Matching.	Ofir Nabati, Tom Zahavy, Shie Mannor
2021	UAI	Known unknowns: Learning novel concepts using reasoning-by-elimination.	Harsh Agrawal, Eli A. Meirom, Yuval Atzmon, Shie Mannor, Gal Chechik
2021	UAI	Action redundancy in reinforcement learning.	Nir Baram, Guy Tennenholtz, Shie Mannor
2021	UAI	Bandits with partially observable confounded data.	Guy Tennenholtz, Uri Shalit, Shie Mannor, Yonathan Efroni
2020	AAAI	Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs.	Lior Shani, Yonathan Efroni, Shie Mannor
2020	AAAI	Off-Policy Evaluation in Partially Observable Environments.	Guy Tennenholtz, Uri Shalit, Shie Mannor
2020	ALT	An adaptive stochastic optimization algorithm for resource allocation.	Xavier Fontaine, Shie Mannor, Vianney Perchet
2020	COLT	Tight Lower Bounds for Combinatorial Multi-Armed Bandits.	Nadav Merlis, Shie Mannor
2020	ICML	Topic Modeling via Full Dependence Mixtures.	Dan Fisher, Mark Kozdoba, Shie Mannor
2020	ICML	Optimistic Policy Optimization with Bandit Feedback.	Lior Shani, Yonathan Efroni, Aviv Rosenberg, Shie Mannor
2020	WACV	Scalable Detection of Offensive and Non-compliant Content / Logo in Product Images.	Shreyansh Gandhi, Samrat Kokkula, Abon Chaudhuri, Alessandro Magnani, Theban Stanley, Behzad Ahmadi, Venkatesh Kandaswamy, Omer Ovenc, Shie Mannor
2019	AAAI	How to Combine Tree-Search Methods in Reinforcement Learning.	Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
2019	AAAI	On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters.	Mark Kozdoba, Jakub Marecek, Tigran T. Tchrakian, Shie Mannor
2019	COLT	Batch-Size Independent Regret Bounds for the Combinatorial Multi-Armed Bandit Problem.	Nadav Merlis, Shie Mannor
2019	ICLR	Reward Constrained Policy Optimization.	Chen Tessler, Daniel J. Mankowitz, Shie Mannor
2019	ICML	Nonlinear Distributional Gradient Temporal-Difference Learning.	Chao Qu, Shie Mannor, Huan Xu
2019	ICML	Exploration Conscious Reinforcement Learning Revisited.	Lior Shani, Yonathan Efroni, Shie Mannor
2019	ICML	The Natural Language of Actions.	Guy Tennenholtz, Shie Mannor
2019	ICML	Action Robust Reinforcement Learning and Applications in Continuous Control.	Chen Tessler, Yonathan Efroni, Shie Mannor
2019	UAI	A Bayesian Approach to Robust Reinforcement Learning.	Esther Derman, Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor
2018	AAAI	Finite Sample Analyses for TD(0) With Function Approximation.	Gal Dalal, Balzs Szrnyi, Gugan Thoppe, Shie Mannor
2018	AAAI	Learning Robust Options.	Daniel J. Mankowitz, Timothy A. Mann, Pierre-Luc Bacon, Doina Precup, Shie Mannor
2018	AAAI	Is a Picture Worth a Thousand Words? A Deep Multi-Modal Architecture for Product Classification in E-Commerce.	Tom Zahavy, Abhinandan Krishnan, Alessandro Magnani, Shie Mannor
2018	COLT	A General Approach to Multi-Armed Bandits Under Risk Criteria.	Asaf B. Cassel, Shie Mannor, Assaf Zeevi
2018	COLT	Finite Sample Analysis of Two-Timescale Stochastic Approximation with Applications to Reinforcement Learning.	Gal Dalal, Gugan Thoppe, Balzs Szrnyi, Shie Mannor
2018	ICLR	Learning How Not to Act in Text-based Games.	Matan Haroush, Tom Zahavy, Daniel J. Mankowitz, Shie Mannor
2018	ICLR	Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms.	Tom Zahavy, Bingyi Kang, Alex Sivak, Jiashi Feng, Huan Xu, Shie Mannor
2018	ICML	Beyond the One-Step Greedy Approach in Reinforcement Learning.	Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
2018	ISAIM	PAC Bandits with Risk Constraints.	Yahel David, Balzs Szrnyi, Mohammad Ghavamzadeh, Shie Mannor, Nahum Shimkin
2018	UAI	Soft-Robust Actor-Critic Policy-Gradient.	Esther Derman, Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor
2017	AAAI	A Deep Hierarchical Approach to Lifelong Learning in Minecraft.	Chen Tessler, Shahar Givony, Tom Zahavy, Daniel J. Mankowitz, Shie Mannor
2017	COLT	Ignoring Is a Bliss: Learning with Large Noise Through Reweighting-Minimization.	Daniel Vainsencher, Shie Mannor, Huan Xu
2017	ICML	End-to-End Differentiable Adversarial Imitation Learning.	Nir Baram, Oron Anschel, Itai Caspi, Shie Mannor
2017	ICML	Multi-objective Bandits: Optimizing the Generalized Gini Index.	Rbert Busa-Fekete, Balzs Szrnyi, Paul Weng, Shie Mannor
2017	ICML	Consistent On-Line Off-Policy Evaluation.	Assaf Hallak, Shie Mannor
2017	IJCAI	Approximate Value Iteration with Temporally Extended Actions (Extended Abstract).	Timothy A. Mann, Shie Mannor, Doina Precup
2017	WWW	A Nonparametric Sequential Test for Online Randomized Experiments.	Vineet Abhishek, Shie Mannor
2016	AAAI	Generalized Emphatic Temporal Difference Learning: Bias-Variance Analysis.	Assaf Hallak, Aviv Tamar, Rmi Munos, Shie Mannor
2016	ICML	Heteroscedastic Sequences: Beyond Gaussianity.	Oren Anava, Shie Mannor
2016	ICML	Hierarchical Decision Making In Electricity Grid Management.	Gal Dalal, Elad Gilboa, Shie Mannor
2016	ICML	Graying the black box: Understanding DQNs.	Tom Zahavy, Nir Ben-Zrihem, Shie Mannor
2016	INFOCOM	Multi-user lax communications: A multi-armed bandit approach.	Orly Avner, Shie Mannor
2015	AAAI	Learning When to Switch between Skills in a High Dimensional Domain.	Timothy A. Mann, Daniel J. Mankowitz, Shie Mannor
2015	AAAI	Optimizing the CVaR via Sampling.	Aviv Tamar, Yonatan Glassner, Shie Mannor
2015	AISTATS	Sensor Selection for Crowdsensing Dynamical Systems.	Franois Schnitzler, Jia Yuan Yu, Shie Mannor
2015	COLT	Thompson Sampling for Learning Parameterized Markov Decision Processes.	Aditya Gopalan, Shie Mannor
2015	ICML	Off-policy Model-based Learning under Unknown Factored Dynamics.	Assaf Hallak, Franois Schnitzler, Timothy A. Mann, Shie Mannor
2015	ICML	Dynamic Sensing: Better Classification under Acquisition Constraints.	Oran Richman, Shie Mannor
2015	INFOCOM	Formation games of reliable networks.	Eli A. Meirom, Shie Mannor, Ariel Orda
2015	INFOCOM	Local detection of infections in heterogeneous networks.	Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai
2015	ISCA	Semantic locality and context-based prefetching using reinforcement learning.	Leeor Peled, Shie Mannor, Uri C. Weiser, Yoav Etsion
2015	SIGMETRICS	Localized Epidemic Detection in Networks with Overwhelming Noise.	Eli A. Meirom, Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai, Ariel Orda
2014	COLT	Approachability in unknown games: Online learning meets multi-objective optimization.	Shie Mannor, Vianney Perchet, Gilles Stoltz
2014	EDBT	Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management.	Alexander Artikis, Matthias Weidlich, Franois Schnitzler, Ioannis Boutsis, Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik, Vana Kalogeraki, Jakub Marecek, Avigdor Gal, Shie Mannor, Dimitrios Gunopulos, Dermot Kinane
2014	EDBT	Combining a Gauss-Markov model and Gaussian process for traffic prediction in Dublin city center.	Franois Schnitzler, Thomas Liebig, Shie Mannor, Katharina Morik
2014	ICML	Thompson Sampling for Complex Online Problems.	Aditya Gopalan, Shie Mannor, Yishay Mansour
2014	ICML	Concept Drift Detection Through Resampling.	Maayan Harel, Shie Mannor, Ran El-Yaniv, Koby Crammer
2014	ICML	Latent Bandits.	Odalric-Ambrym Maillard, Shie Mannor
2014	ICML	Scaling Up Approximate Value Iteration with Options: Better Policies with Fewer Iterations.	Timothy A. Mann, Shie Mannor
2014	ICML	Time-Regularized Interrupting Options (TRIO).	Timothy A. Mann, Daniel J. Mankowitz, Shie Mannor
2014	ICML	Scaling Up Robust MDPs using Function Approximation.	Aviv Tamar, Shie Mannor, Huan Xu
2014	MICRO	Loop-Aware Memory Prefetching Using Code Block Working Sets.	Adi Fuchs, Shie Mannor, Uri C. Weiser, Yoav Etsion
2013	COLT	Online Learning for Time Series Prediction.	Oren Anava, Elad Hazan, Shie Mannor, Ohad Shamir
2013	COLT	Opportunistic Strategies for Generalized No-Regret Problems.	Andrey Bernstein, Shie Mannor, Nahum Shimkin
2013	COLT	Approachability, fast and slow.	Vianney Perchet, Shie Mannor
2013	ICML	Robust Sparse Regression under Adversarial Corruption.	Yudong Chen, Constantine Caramanis, Shie Mannor
2013	ICML	Temporal Difference Methods for the Variance of the Reward To Go.	Aviv Tamar, Dotan Di Castro, Shie Mannor
2013	KDD	Model selection in markovian processes.	Assaf Hallak, Dotan Di Castro, Shie Mannor
2013	MOBIHOC	Detecting epidemics using highly noisy data.	Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai
2012	ICML	Decoupling Exploration and Exploitation in Multi-Armed Bandits.	Orly Avner, Shie Mannor, Ohad Shamir
2012	ICML	Policy Gradients with Variance Related Risk Criteria.	Dotan Di Castro, Aviv Tamar, Shie Mannor
2012	ICML	Lightning Does Not Strike Twice: Robust MDPs with Coupled Uncertainty.	Shie Mannor, Ofir Mebel, Huan Xu
2012	SIGMETRICS	Network forensics: random infection vs spreading epidemic.	Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai
2011	ICML	Learning from Multiple Outlooks.	Maayan Harel, Shie Mannor
2011	ICML	Mean-Variance Optimization in Markov Decision Processes.	Shie Mannor, John N. Tsitsiklis
2011	ICML	Bundle Selling by Online Estimation of Valuation Functions.	Daniel Vainsencher, Ofer Dekel, Shie Mannor
2011	ICML	Unimodal Bandits.	Jia Yuan Yu, Shie Mannor
2011	IJCAI	Probabilistic Goal Markov Decision Processes.	Huan Xu, Shie Mannor
2011	INFOCOM	A state action frequency approach to throughput maximization over uncertain wireless channels.	Krishna P. Jagannathan, Shie Mannor, Ishai Menache, Eytan H. Modiano
2010	AAAI	Activity and Gait Recognition with Time-Delay Embeddings.	Jordan Frank, Shie Mannor, Doina Precup
2010	COLT	Learning with Global Cost in Stochastic Environments.	Eyal Even-Dar, Shie Mannor, Yishay Mansour
2010	COLT	Principal Component Analysis with Contaminated Data: The High Dimensional Case.	Huan Xu, Constantine Caramanis, Shie Mannor
2010	COLT	Robustness and Generalization.	Huan Xu, Shie Mannor
2010	GLOBECOM	Lowering Error Floors Using Dithered Belief Propagation.	Franois Leduc-Primeau, Saied Hemati, Shie Mannor, Warren J. Gross
2010	ICDCS	Resource Allocation with Supply Adjustment in Distributed Computing Systems.	Amir Danak, Shie Mannor
2010	KDD	Generative models for rapid information propagation.	Kirill Dyagilev, Shie Mannor, Elad Yom-Tov
2009	COLT	Online Learning for Global Cost Functions.	Eyal Even-Dar, Robert Kleinberg, Shie Mannor, Yishay Mansour
2009	GLOBECOM	A Relaxed Half-Stochastic Iterative Decoder for LDPC Codes.	Franois Leduc-Primeau, Saied Hemati, Warren J. Gross, Shie Mannor
2009	ICASSP	Tracking Forecast Memories in stochastic decoders.	Saeed Sharifi Tehrani, Ali Naderi, Guy-Armand Kamendje, Shie Mannor, Warren J. Gross
2009	ICML	Piecewise-stationary bandit problems with side observations.	Jia Yuan Yu, Shie Mannor
2009	ITW	High dimensional Principal Component Analysis with contaminated data.	Huan Xu, Constantine Caramanis, Shie Mannor
2008	AAAI	Online Learning with Expert Advice and Finite-Horizon Constraints.	Branislav Kveton, Jia Yuan Yu, Georgios Theocharous, Shie Mannor
2008	COLT	Learning in the Limit with Adversarial Disturbances.	Constantine Caramanis, Shie Mannor
2008	ICML	Reinforcement learning in the presence of rare events.	Jordan Frank, Shie Mannor, Doina Precup
2008	ISAIM	A Lazy Approach to Online Learning with Constraints.	Branislav Kveton, Jia Yuan Yu, Georgios Theocharous, Shie Mannor
2007	AAAI	Adaptive Timeout Policies for Fast Fine-Grained Power Management.	Branislav Kveton, Prashant Gandhi, Georgios Theocharous, Shie Mannor, Barbara Rosario, Nilesh Shah
2007	AAAI	User Model and Utility Based Power Management.	Chih-Han Yu, Shie Mannor, Georgios Theocharous, Avi Pfeffer
2007	COLT	Strategies for Prediction Under Imperfect Monitoring.	Gbor Lugosi, Shie Mannor, Gilles Stoltz
2007	GLOBECOM	Non-Cooperative Design of Translucent Networks.	Benot Chtelain, Shie Mannor, Franois Gagnon, David V. Plant
2007	ICML	Percentile optimization in uncertain Markov decision processes with application to efficient exploration.	Erick Delage, Shie Mannor
2007	Networking	Reinforcement Learning-Based Load Shared Sequential Routing.	Fariba Heidari, Shie Mannor, Lorne Mason
2006	COLT	Online Learning with Variable Stage Duration.	Shie Mannor, Nahum Shimkin
2006	COLT	Online Learning with Constraints.	Shie Mannor, John N. Tsitsiklis
2006	ICML	Automatic basis function construction for approximate dynamic programming and reinforcement learning.	Philipp W. Keller, Shie Mannor, Doina Precup
2006	INFOCOM	Asymptotics of Efficiency Loss in Competitive Market Mechanisms.	Jia Yuan Yu, Shie Mannor
2005	ICML	Reinforcement learning with Gaussian processes.	Yaakov Engel, Shie Mannor, Ron Meir
2005	ICML	The cross entropy method for classification.	Shie Mannor, Dori Peleg, Reuven Y. Rubinstein
2004	COLT	An Inequality for Nearly Log-Concave Distributions with Applications to Learning.	Constantine Caramanis, Shie Mannor
2004	COLT	Reinforcement Learning for Average Reward Zero-Sum Games.	Shie Mannor
2004	ICML	Dynamic abstraction in reinforcement learning via clustering.	Shie Mannor, Ishai Menache, Amit Hoze, Uri Klein
2004	ICML	Bias and variance in value function estimation.	Shie Mannor, Duncan Simester, Peng Sun, John N. Tsitsiklis
2003	COLT	On-Line Learning with Imperfect Monitoring.	Shie Mannor, Nahum Shimkin
2003	COLT	Lower Bounds on the Sample Complexity of Exploration in the Multi-armed Bandit Problem.	Shie Mannor, John N. Tsitsiklis
2003	ICML	Bayes Meets Bellman: The Gaussian Process Approach to Temporal Difference Learning.	Yaakov Engel, Shie Mannor, Ron Meir
2003	ICML	Action Elimination and Stopping Conditions for Reinforcement Learning.	Eyal Even-Dar, Shie Mannor, Yishay Mansour
2003	ICML	The Cross Entropy Method for Fast Policy Search.	Shie Mannor, Reuven Y. Rubinstein, Yohai Gat
2002	COLT	PAC Bounds for Multi-armed Bandit and Markov Decision Processes.	Eyal Even-Dar, Shie Mannor, Yishay Mansour
2002	COLT	The Consistency of Greedy Algorithms for Classification.	Shie Mannor, Ron Meir, Tong Zhang
2001	COLT	Geometric Bounds for Generalization in Boosting.	Shie Mannor, Ron Meir
2001	COLT	Adaptive Strategies and Regret Minimization in Arbitrarily Varying Markov Environments.	Shie Mannor, Nahum Shimkin
2001	ICML	Learning Embedded Maps of Markov Processes.	Yaakov Engel, Shie Mannor