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All publications by Shie Mannor
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Dynamic Sensing: Better Classification under Acquisition Constraints
Oran Richman and Shie Mannor
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Off-policy Model-based Learning under Unknown Factored Dynamics
Assaf Hallak, Francois Schnitzler, Timothy Mann and Shie Mannor
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Online Learning for Adversaries with Memory: Price of Past Mistakes
Oren Anava, Elad Hazan and Shie Mannor
Advances in Neural Information Processing Systems 28, 2015


Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach
Yinlam Chow, Aviv Tamar, Shie Mannor and Marco Pavone
Advances in Neural Information Processing Systems 28, 2015


Policy Gradient for Coherent Risk Measures
Aviv Tamar, Yinlam Chow, Mohammad Ghavamzadeh and Shie Mannor
Advances in Neural Information Processing Systems 28, 2015


Community Detection via Measure Space Embedding
Mark Kozdoba and Shie Mannor
Advances in Neural Information Processing Systems 28, 2015


Scaling Up Robust MDPs using Function Approximation
Aviv Tamar, Shie Mannor and Huan Xu
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Time-Regularized Interrupting Options (TRIO)
Timothy Mann, Daniel Mankowitz and Shie Mannor
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Concept Drift Detection Through Resampling
Maayan Harel, Shie Mannor, Ran El-yaniv and Koby Crammer
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Scaling Up Approximate Value Iteration with Options: Better Policies with Fewer Iterations
Timothy Mann and Shie Mannor
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Latent Bandits.
Odalric-ambrym Maillard and Shie Mannor
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Thompson Sampling for Complex Online Problems
Aditya Gopalan, Shie Mannor and Yishay Mansour
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Robust Logistic Regression and Classification
Jiashi Feng, Huan Xu, Shie Mannor and Shuicheng Yan
Advances in Neural Information Processing Systems 27, 2014


How hard is my MDP?" The distribution-norm to the rescue"
Odalric-ambrym Maillard, Timothy A. Mann and Shie Mannor
Advances in Neural Information Processing Systems 27, 2014


Temporal Difference Methods for the Variance of the Reward To Go
Aviv Tamar, Dotan D. Castro and Shie Mannor
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Robust Sparse Regression under Adversarial Corruption
Yudong Chen, Constantine Caramanis and Shie Mannor
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Reinforcement Learning in Robust Markov Decision Processes
Shiau H. Lim, Huan Xu and Shie Mannor
Advances in Neural Information Processing Systems 26, 2013


Online PCA for Contaminated Data
Jiashi Feng, Huan Xu, Shie Mannor and Shuicheng Yan
Advances in Neural Information Processing Systems 26, 2013


Learning Multiple Models via Regularized Weighting
Daniel Vainsencher, Shie Mannor and Huan Xu
Advances in Neural Information Processing Systems 26, 2013


The Perturbed Variation
Maayan Harel and Shie Mannor
Advances in Neural Information Processing Systems 25, 2012


Lightning Does Not Strike Twice: Robust MDPs with Coupled Uncertainty
Shie Mannor, Ofir Mebel and Huan Xu
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Policy Gradients with Variance Related Risk Criteria
Dotan D. Castro, Aviv Tamar and Shie Mannor
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Decoupling Exploration and Exploitation in Multi-Armed Bandits
Orly Avner, Shie Mannor and Ohad Shamir
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Statistical Optimization in High Dimensions
Huan Xu, Constantine Caramanis and Shie Mannor
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Committing Bandits
Loc X. Bui, Ramesh Johari and Shie Mannor
Advances in Neural Information Processing Systems 24, 2011


From Bandits to Experts: On the Value of Side-Observations
Shie Mannor and Ohad Shamir
Advances in Neural Information Processing Systems 24, 2011


Unimodal Bandits
Jia Y. Yu and Shie Mannor
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Bundle Selling by Online Estimation of Valuation Functions
Daniel Vainsencher, Ofer Dekel and Shie Mannor
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Mean-Variance Optimization in Markov Decision Processes
Shie Mannor and John Tsitsiklis
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Learning from Multiple Outlooks
Maayan Harel and Shie Mannor
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Distributionally Robust Markov Decision Processes
Huan Xu and Shie Mannor
Advances in Neural Information Processing Systems 23, 2010


Online Classification with Specificity Constraints
Andrey Bernstein, Shie Mannor and Nahum Shimkin
Advances in Neural Information Processing Systems 23, 2010


Robustness and Regularization of Support Vector Machines
Huan Xu, Constantine Caramanis and Shie Mannor
Journal of Machine Learning Research, 2009


Online Learning with Sample Path Constraints
Shie Mannor, John N. Tsitsiklis and Jia Y. Yu
Journal of Machine Learning Research, 2009


Piecewise-stationary bandit problems with side observations
Jia Y. Yu and Shie Mannor
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Reinforcement learning in the presence of rare events
Jordan Frank, Shie Mannor and Doina Precup
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Regularized Policy Iteration
Amir M. Farahmand, Mohammad Ghavamzadeh, Shie Mannor and Csaba Szepesvári
Advances in Neural Information Processing Systems 21, 2008


Robust Regression and Lasso
Huan Xu, Constantine Caramanis and Shie Mannor
Advances in Neural Information Processing Systems 21, 2008


Percentile optimization in uncertain Markov decision processes with application to efficient exploration
Erick Delage and Shie Mannor
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Automatic basis function construction for approximate dynamic programming and reinforcement learning
Philipp W. Keller, Shie Mannor and Doina Precup
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


The Robustness-Performance Tradeoff in Markov Decision Processes
Huan Xu and Shie Mannor
Advances in Neural Information Processing Systems 19, 2006


Action Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning Problems
Eyal Even-dar, Shie Mannor and Yishay Mansour
Journal of Machine Learning Research, 2006


The cross entropy method for classification
Shie Mannor, Dori Peleg and Reuven Y. Rubinstein
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Reinforcement learning with Gaussian processes
Yaakov Engel, Shie Mannor and Ron Meir
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Bias and variance in value function estimation
Shie Mannor, Duncan Simester, Peng Sun and John N. Tsitsiklis
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Dynamic abstraction in reinforcement learning via clustering
Shie Mannor, Ishai Menache, Amit Hoze and Uri Klein
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


The Sample Complexity of Exploration in the Multi-Armed Bandit Problem
Shie Mannor and John N. Tsitsiklis
Journal of Machine Learning Research, 2004


A Geometric Approach to Multi-Criterion Reinforcement Learning
Shie Mannor and Nahum Shimkin
Journal of Machine Learning Research, 2004


The Cross Entropy Method for Fast Policy Search
Shie Mannor, Reuven Y. Rubinstein and Yohai Gat
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Action Elimination and Stopping Conditions for Reinforcement Learning
Eyal Even-dar, Shie Mannor and Yishay Mansour
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Bayes Meets Bellman: The Gaussian Process Approach to Temporal Difference Learning
Yaakov Engel, Shie Mannor and Ron Meir
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Greedy Algorithms for Classification -- Consistency, Convergence Rates, and Adaptivity
Shie Mannor, Ron Meir and Tong Zhang
Journal of Machine Learning Research, 2003