Shie Mannor

Esteban Arcaute, Kirill Dyagilev, Ramesh Johari, Shie Mannor: Dynamics in tree formation games. Games and Economic Behavior 79: 1-29 (2013)

Jordan Frank, Shie Mannor, Joelle Pineau, Doina Precup: Time Series Analysis Using Geometric Template Matching. IEEE Trans. Pattern Anal. Mach. Intell. 35(3): 740-754 (2013)

Gabi Sarkis, Saied Hemati, Shie Mannor, Warren J. Gross: Stochastic Decoding of LDPC Codes over GF(q). IEEE Transactions on Communications 61(3): 939-950 (2013)

Huan Xu, Constantine Caramanis, Shie Mannor: Outlier-Robust PCA: The High-Dimensional Case. IEEE Transactions on Information Theory 59(1): 546-572 (2013)

Aviv Tamar, Dotan Di Castro, Shie Mannor: Policy Evaluation with Variance Related Risk Criteria in Markov Decision Processes. CoRR abs/1301.0104 (2013)

Yudong Chen, Constantine Caramanis, Shie Mannor: Robust High Dimensional Sparse Regression and Matching Pursuit. CoRR abs/1301.2725 (2013)

Oren Anava, Elad Hazan, Shie Mannor, Ohad Shamir: Online Learning for Time Series Prediction. CoRR abs/1302.6927 (2013)

Oren Anava, Elad Hazan, Shie Mannor: Online Learning for Loss Functions with Memory and Applications to Statistical Arbitrage. CoRR abs/1302.6937 (2013)

Amir Danak, Shie Mannor: Approximately optimal bidding policies for repeated first-price auctions. Annals OR 196(1): 189-199 (2012)

Huan Xu, Constantine Caramanis, Shie Mannor: Optimization Under Probabilistic Envelope Constraints. Operations Research 60(3): 682-699 (2012)

Huan Xu, Constantine Caramanis, Shie Mannor: Statistical Optimization in High Dimensions. Journal of Machine Learning Research - Proceedings Track 22: 1332-1340 (2012)

Shie Mannor, Nathan Srebro: Preface. Journal of Machine Learning Research - Proceedings Track 23: 1.1-1.2 (2012)

Yoav Haimovitch, Koby Crammer, Shie Mannor: More Is Better: Large Scale Partially-supervised Sentiment Classication. Journal of Machine Learning Research - Proceedings Track 25: 175-190 (2012)

Huan Xu, Shie Mannor: Robustness and generalization. Machine Learning 86(3): 391-423 (2012)

Huan Xu, Constantine Caramanis, Shie Mannor: A Distributional Interpretation of Robust Optimization. Math. Oper. Res. 37(1): 95-110 (2012)

Huan Xu, Shie Mannor: Distributionally Robust Markov Decision Processes. Math. Oper. Res. 37(2): 288-300 (2012)

Huan Xu, Constantine Caramanis, Shie Mannor: Sparse Algorithms Are Not Stable: A No-Free-Lunch Theorem. IEEE Trans. Pattern Anal. Mach. Intell. 34(1): 187-193 (2012)

François Leduc-Primeau, Saied Hemati, Shie Mannor, Warren J. Gross: Dithered Belief Propagation Decoding. IEEE Transactions on Communications 60(8): 2042-2047 (2012)

Arman C. Kizilkale, Shie Mannor, Peter E. Caines: Large scale real-time bidding in the smart grid: A mean field framework. CDC 2012: 3680-3687

Arman C. Kizilkale, Shie Mannor: Duality of ancillary services and intermittent suppliers. CDC 2012: 4977-4984

Orly Avner, Shie Mannor, Ohad Shamir: Decoupling Exploration and Exploitation in Multi-Armed Bandits. ICML 2012

Dotan Di Castro, Aviv Tamar, Shie Mannor: Policy Gradients with Variance Related Risk Criteria. ICML 2012

Shie Mannor, Ofir Mebel, Huan Xu: Lightning Does Not Strike Twice: Robust MDPs with Coupled Uncertainty. ICML 2012

Maayan Harel, Shie Mannor: The Perturbed Variation. NIPS 2012: 1943-1951

Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai: Network forensics: random infection vs spreading epidemic. SIGMETRICS 2012: 223-234

Saeed Sharifi Tehrani, Paul H. Siegel, Shie Mannor, Warren J. Gross: Joint Stochastic Decoding of LDPC Codes and Partial-Response Channels. SiPS 2012: 13-18

Shie Mannor, Nathan Srebro, Robert C. Williamson (Eds.): COLT 2012 - The 25th Annual Conference on Learning Theory, June 25-27, 2012, Edinburgh, Scotland. JMLR.org 2012

François Leduc-Primeau, Saied Hemati, Shie Mannor, Warren J. Gross: Relaxed Half-Stochastic Belief Propagation. CoRR abs/1205.2428 (2012)

Orly Avner, Shie Mannor, Ohad Shamir: Decoupling Exploration and Exploitation in Multi-Armed Bandits. CoRR abs/1205.2874 (2012)

Loc Bui, Ramesh Johari, Shie Mannor: Clustered Bandits. CoRR abs/1206.4169 (2012)

Shie Mannor, Ofir Mebel, Huan Xu: Lightning Does Not Strike Twice: Robust MDPs with Coupled Uncertainty. CoRR abs/1206.4643 (2012)

Assaf Hallak, Shie Mannor: How to sample if you must: on optimal functional sampling. CoRR abs/1208.2417 (2012)

Yoav Haimovitch, Koby Crammer, Shie Mannor: More Is Better: Large Scale Partially-supervised Sentiment Classification - Appendix. CoRR abs/1209.6329 (2012)

Maayan Harel, Shie Mannor: The Perturbed Variation. CoRR abs/1210.4006 (2012)

Daniel Vainsencher, Shie Mannor, Alfred M. Bruckstein: The Sample Complexity of Dictionary Learning. Journal of Machine Learning Research 12: 3259-3281 (2011)

Shie Mannor, Vianney Perchet, Gilles Stoltz: Robust approachability and regret minimization in games with partial monitoring. Journal of Machine Learning Research - Proceedings Track 19: 515-536 (2011)

Daniel Vainsencher, Shie Mannor, Alfred M. Bruckstein: The Sample Complexity of Dictionary Learning. Journal of Machine Learning Research - Proceedings Track 19: 773-788 (2011)

Jacob Abernethy, Shie Mannor: Does an Efficient Calibrated Forecasting Strategy Exist? Journal of Machine Learning Research - Proceedings Track 19: 809-812 (2011)

Amir Danak, Shie Mannor: A Robust Learning Approach to Repeated Auctions With Monitoring and Entry Fees. IEEE Trans. Comput. Intellig. and AI in Games 3(4): 302-315 (2011)

Amir Danak, Shie Mannor: Efficient Bidding in Dynamic Grid Markets. IEEE Trans. Parallel Distrib. Syst. 22(9): 1483-1496 (2011)

Ali Naderi, Shie Mannor, Mohamad Sawan, Warren J. Gross: Delayed Stochastic Decoding of LDPC Codes. IEEE Transactions on Signal Processing 59(11): 5617-5626 (2011)

Saeed Sharifi Tehrani, Ali Naderi, Guy-Armand Kamendje, Shie Mannor, Warren J. Gross: Tracking Forecast Memories for Stochastic Decoding. Signal Processing Systems 63(1): 117-127 (2011)

Jordan Frank, Shie Mannor, Doina Precup: Activity Recognition with Time-Delay Emobeddings. AAAI Spring Symposium: Computational Physiology 2011

Arman C. Kizilkale, Shie Mannor: Regulation and double price mechanisms in markets with friction. CDC-ECE 2011: 33-40

Orly Avner, Shie Mannor: Stochastic bandits with pathwise constraints. CDC-ECE 2011: 3862-3869

Jia Yuan Yu, Shie Mannor: Unimodal Bandits. ICML 2011: 41-48

Shie Mannor, John N. Tsitsiklis: Mean-Variance Optimization in Markov Decision Processes. ICML 2011: 177-184

Maayan Harel, Shie Mannor: Learning from Multiple Outlooks. ICML 2011: 401-408

Daniel Vainsencher, Ofer Dekel, Shie Mannor: Bundle Selling by Online Estimation of Valuation Functions. ICML 2011: 1137-1144

Huan Xu, Shie Mannor: Probabilistic Goal Markov Decision Processes. IJCAI 2011: 2046-2052

Krishna P. Jagannathan, Shie Mannor, Ishai Menache, Eytan Modiano: A state action frequency approach to throughput maximization over uncertain wireless channels. INFOCOM 2011: 491-495

Shie Mannor, Ohad Shamir: From Bandits to Experts: On the Value of Side-Observations. NIPS 2011: 684-692

Loc Bui, Ramesh Johari, Shie Mannor: Committing Bandits. NIPS 2011: 1557-1565

Jordan Frank, Shie Mannor, Doina Precup: Activity Recognition with Mobile Phones. ECML/PKDD (3) 2011: 630-633

Shie Mannor, John N. Tsitsiklis: Mean-Variance Optimization in Markov Decision Processes. CoRR abs/1104.5601 (2011)

Dotan Di Castro, Claudio Gentile, Shie Mannor: A Maximal Large Deviation Inequality for Sub-Gaussian Variables. CoRR abs/1105.2550 (2011)

Shie Mannor, Vianney Perchet, Gilles Stoltz: Robust approachability and regret minimization in games with partial monitoring. CoRR abs/1105.4995 (2011)

Shie Mannor, Ohad Shamir: From Bandits to Experts: On the Value of Side-Observations. CoRR abs/1106.2436 (2011)

Dotan Di Castro, Claudio Gentile, Shie Mannor: Bandits with an Edge. CoRR abs/1109.2296 (2011)

Arman C. Kizilkale, Shie Mannor: Regulation, Volatility and Efficiency in Continuous-Time Markets. CoRR abs/1109.3151 (2011)

Camille Leroux, Saied Hemati, Shie Mannor, Warren J. Gross: Stochastic Chase Decoding of Reed-Solomon Codes. IEEE Communications Letters 14(9): 863-865 (2010)

Erick Delage, Shie Mannor: Percentile Optimization for Markov Decision Processes with Parameter Uncertainty. Operations Research 58(1): 203-213 (2010)

Shie Mannor, Gilles Stoltz: A Geometric Proof of Calibration. Math. Oper. Res. 35(4): 721-727 (2010)

Kevin Cushon, Camille Leroux, Saied Hemati, Shie Mannor, Warren J. Gross: A Min-Sum Iterative Decoder Based on Pulsewidth Message Encoding. IEEE Trans. on Circuits and Systems 57-II(11): 893-897 (2010)

Huan Xu, Constantine Caramanis, Shie Mannor: Robust regression and Lasso. IEEE Transactions on Information Theory 56(7): 3561-3574 (2010)

Saeed Sharifi Tehrani, Ali Naderi, Guy-Armand Kamendje, Saied Hemati, Shie Mannor, Warren J. Gross: Majority-based tracking forecast memories for stochastic LDPC decoding. IEEE Transactions on Signal Processing 58(9): 4883-4896 (2010)

Saeed Sharifi Tehrani, Chris Winstead, Warren J. Gross, Shie Mannor, Sheryl L. Howard, Vincent C. Gaudet: Relaxation dynamics in stochastic iterative decoders. IEEE Transactions on Signal Processing 58(11): 5955-5961 (2010)

Jordan Frank, Shie Mannor, Doina Precup: Activity and Gait Recognition with Time-Delay Embeddings. AAAI 2010

Arman C. Kizilkale, Shie Mannor: Regulation and efficiency in markets with friction. CDC 2010: 4137-4144

Dotan Di Castro, Shie Mannor: Adaptive bases for Q-learning. CDC 2010: 4587-4593

Eyal Even-Dar, Shie Mannor, Yishay Mansour: Learning with Global Cost in Stochastic Environments. COLT 2010: 80-92

Huan Xu, Constantine Caramanis, Shie Mannor: Principal Component Analysis with Contaminated Data: The High Dimensional Case. COLT 2010: 490-502

Huan Xu, Shie Mannor: Robustness and Generalization. COLT 2010: 503-515

François Leduc-Primeau, Saied Hemati, Shie Mannor, Warren J. Gross: Lowering Error Floors Using Dithered Belief Propagation. GLOBECOM 2010: 1-6

Jordan Frank, Shie Mannor, Doina Precup: A novel similarity measure for time series data with applications to gait and activity recognition. UbiComp (Adjunct Papers) 2010: 407-408

Amir Danak, Shie Mannor: Resource Allocation with Supply Adjustment in Distributed Computing Systems. ICDCS 2010: 498-506

Andrey Bernstein, Shie Mannor, Nahum Shimkin: Online Classification with Specificity Constraints. NIPS 2010: 190-198

Huan Xu, Shie Mannor: Distributionally Robust Markov Decision Processes. NIPS 2010: 2505-2513

Dotan Di Castro, Shie Mannor: Adaptive Bases for Reinforcement Learning. ECML/PKDD (1) 2010: 312-327

Shie Mannor: k-Armed Bandit. Encyclopedia of Machine Learning 2010: 561-563

Maayan Gal-on, Shie Mannor: Learning from Multiple Outlooks. CoRR abs/1005.0027 (2010)

Dotan Di Castro, Shie Mannor: Adaptive Bases for Reinforcement Learning. CoRR abs/1005.0125 (2010)

Huan Xu, Shie Mannor: Robustness and Generalization. CoRR abs/1005.2243 (2010)

Daniel Vainsencher, Shie Mannor, Alfred M. Bruckstein: The Sample Complexity of Dictionary Learning. CoRR abs/1011.5395 (2010)

Shie Mannor, John N. Tsitsiklis: Approachability in repeated games: Computational aspects and a Stackelberg variant. Games and Economic Behavior 66(1): 315-325 (2009)

Shie Mannor, John N. Tsitsiklis, Jia Yuan Yu: Online Learning with Sample Path Constraints. Journal of Machine Learning Research 10: 569-590 (2009)

Huan Xu, Constantine Caramanis, Shie Mannor: Robustness and Regularization of Support Vector Machines. Journal of Machine Learning Research 10: 1485-1510 (2009)

Jia Yuan Yu, Shie Mannor, Nahum Shimkin: Markov Decision Processes with Arbitrary Reward Processes. Math. Oper. Res. 34(3): 737-757 (2009)

Huan Xu, Shie Mannor: A Kalman Filter Design Based on the Performance/Robustness Tradeoff. IEEE Trans. Automat. Contr. 54(5): 1171-1175 (2009)

Esteban Arcaute, Ramesh Johari, Shie Mannor: Network Formation: Bilateral Contracting and Myopic Dynamics. IEEE Trans. Automat. Contr. 54(8): 1765-1778 (2009)

Jia Yuan Yu, Shie Mannor: Arbitrarily modulated Markov decision processes. CDC 2009: 2946-2953

Huan Xu, Shie Mannor: Parametric regret in uncertain Markov decision processes. CDC 2009: 3606-3613

Huan Xu, Constantine Caramanis, Shie Mannor, Sungho Yun: Risk sensitive robust support vector machines. CDC 2009: 4655-4661

Eyal Even-Dar, Robert Kleinberg, Shie Mannor, Yishay Mansour: Online Learning for Global Cost Functions. COLT 2009

François Leduc-Primeau, Saied Hemati, Warren J. Gross, Shie Mannor: A Relaxed Half-Stochastic Iterative Decoder for LDPC Codes. GLOBECOM 2009: 1-6

Saeed Sharifi Tehrani, Ali Naderi, Guy-Armand Kamendje, Shie Mannor, Warren J. Gross: Tracking Forecast Memories in stochastic decoders. ICASSP 2009: 561-564

Gabi Sarkis, Shie Mannor, Warren J. Gross: Stochastic Decoding of LDPC Codes over GF(q). ICC 2009: 1-5

Jia Yuan Yu, Shie Mannor: Piecewise-stationary bandit problems with side observations. ICML 2009: 148

Kevin Cushon, Warren J. Gross, Shie Mannor: Bidirectional interleavers for LDPC decoders using transmission gates. SiPS 2009: 232-237

Shie Mannor, Nahum Shimkin: Regret minimization in repeated matrix games with variable stage duration. Games and Economic Behavior 63(1): 227-258 (2008)

Gábor Lugosi, Shie Mannor, Gilles Stoltz: Strategies for Prediction Under Imperfect Monitoring. Math. Oper. Res. 33(3): 513-528 (2008)

Saeed Sharifi Tehrani, Shie Mannor, Warren J. Gross: Fully Parallel Stochastic LDPC Decoders. IEEE Transactions on Signal Processing 56(11): 5692-5703 (2008)

Branislav Kveton, Jia Yuan Yu, Georgios Theocharous, Shie Mannor: Online Learning with Expert Advice and Finite-Horizon Constraints. AAAI 2008: 331-336

Constantine Caramanis, Shie Mannor: Learning in the Limit with Adversarial Disturbances. COLT 2008: 467-478

Kirill Dyagilev, Shie Mannor, Nahum Shimkin: Efficient Reinforcement Learning in Parameterized Models: Discrete Parameter Case. EWRL 2008: 41-54

Amir Massoud Farahmand, Mohammad Ghavamzadeh, Csaba Szepesvári, Shie Mannor: Regularized Fitted Q-Iteration: Application to Planning. EWRL 2008: 55-68

Jia Yuan Yu, Shie Mannor, Nahum Shimkin: Markov Decision Processes with Arbitrary Reward Processes. EWRL 2008: 268-281

Jordan Frank, Shie Mannor, Doina Precup: Reinforcement learning in the presence of rare events. ICML 2008: 336-343

Branislav Kveton, Jia Yuan Yu, Georgios Theocharous, Shie Mannor: A Lazy Approach to Online Learning with Constraints. ISAIM 2008

Amir Massoud Farahmand, Mohammad Ghavamzadeh, Csaba Szepesvári, Shie Mannor: Regularized Policy Iteration. NIPS 2008: 441-448

Huan Xu, Constantine Caramanis, Shie Mannor: Robust Regression and Lasso. NIPS 2008: 1801-1808

Esteban Arcaute, Ramesh Johari, Shie Mannor: Local Two-Stage Myopic Dynamics for Network Formation Games. WINE 2008: 263-277

Huan Xu, Shie Mannor, Constantine Caramanis: Robustness, Risk, and Regularization in Support Vector Machines. CoRR abs/0803.3490 (2008)

Huan Xu, Constantine Caramanis, Shie Mannor: Robust Regression and Lasso. CoRR abs/0811.1790 (2008)

Shie Mannor, Jeff S. Shamma: Multi-agent learning for engineers. Artif. Intell. 171(7): 417-422 (2007)

Jia Yuan Yu, Shie Mannor: Efficiency of Market-Based Resource Allocation among Many Participants. IEEE Journal on Selected Areas in Communications 25(6): 1244-1259 (2007)

Shie Mannor, Duncan Simester, Peng Sun, John N. Tsitsiklis: Bias and Variance Approximation in Value Function Estimates. Management Science 53(2): 308-322 (2007)

Shie Mannor, Jeff S. Shamma, Gürdal Arslan: Online calibrated forecasts: Memory efficiency versus universality for learning in games. Machine Learning 67(1-2): 77-115 (2007)

Constantine Caramanis, Shie Mannor: An Inequality for Nearly Log-Concave Distributions With Applications to Learning. IEEE Transactions on Information Theory 53(3): 1043-1057 (2007)

Branislav Kveton, Prashant Gandhi, Georgios Theocharous, Shie Mannor, Barbara Rosario, Nilesh Shah: Adaptive Timeout Policies for Fast Fine-Grained Power Management. AAAI 2007: 1795-1800

Chih-Han Yu, Shie Mannor, Georgios Theocharous, Avi Pfeffer: User Model and Utility Based Power Management. AAAI 2007: 1918-1919

Gábor Lugosi, Shie Mannor, Gilles Stoltz: Strategies for Prediction Under Imperfect Monitoring. COLT 2007: 248-262

Benoît Châtelain, Shie Mannor, François Gagnon, David V. Plant: Non-Cooperative Design of Translucent Networks. GLOBECOM 2007: 2348-2352

Erick Delage, Shie Mannor: Percentile optimization in uncertain Markov decision processes with application to efficient exploration. ICML 2007: 225-232

Saeed Sharifi Tehrani, Shie Mannor, Warren J. Gross: Survey of Stochastic Computation on Factor Graphs. ISMVL 2007: 54

Fariba Heidari, Shie Mannor, Lorne Mason: Reinforcement Learning-Based Load Shared Sequential Routing. Networking 2007: 832-843

Saeed Sharifi Tehrani, Shie Mannor, Warren J. Gross: An Area-Efficient FPGA-Based Architecture for Fully-Parallel Stochastic LDPC Decoding. SiPS 2007: 255-260

Esteban Arcaute, Ramesh Johari, Shie Mannor: Network Formation: Bilateral Contracting and Myopic Dynamics. WINE 2007: 191-207

Gábor Lugosi, Shie Mannor, Gilles Stoltz: Strategies for prediction under imperfect monitoring. CoRR abs/math/0701419 (2007)

Ramesh Johari, Shie Mannor, John N. Tsitsiklis: A contract-based model for directed network formation. Games and Economic Behavior 56(2): 201-224 (2006)

Saeed Sharifi Tehrani, Warren J. Gross, Shie Mannor: Stochastic decoding of LDPC codes. IEEE Communications Letters 10(10): 716-718 (2006)

Eyal Even-Dar, Shie Mannor, Yishay Mansour: Action Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning Problems. Journal of Machine Learning Research 7: 1079-1105 (2006)

Patrick Cadotte, Shie Mannor, Hannah Michalska, Benoit Boulet: Design of ℓ₁-optimal controllers with flexible disturbance rejection level. IEEE Trans. Automat. Contr. 51(5): 868-873 (2006)

Shie Mannor, Nahum Shimkin: Online Learning with Variable Stage Duration. COLT 2006: 408-422

Shie Mannor, John N. Tsitsiklis: Online Learning with Constraints. COLT 2006: 529-543

Philipp W. Keller, Shie Mannor, Doina Precup: Automatic basis function construction for approximate dynamic programming and reinforcement learning. ICML 2006: 449-456

Jia Yuan Yu, Shie Mannor: Asymptotics of Efficiency Loss in Competitive Market Mechanisms. INFOCOM 2006

Huan Xu, Shie Mannor: The Robustness-Performance Tradeoff in Markov Decision Processes. NIPS 2006: 1537-1544

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: The Workshop Program at the Nineteenth National Conference on Artificial Intelligence. AI Magazine 26(1): 103-108 (2005)

Pieter-Tjerk de Boer, Dirk P. Kroese, Shie Mannor, Reuven Y. Rubinstein: A Tutorial on the Cross-Entropy Method. Annals OR 134(1): 19-67 (2005)

Ishai Menache, Shie Mannor, Nahum Shimkin: Basis Function Adaptation in Temporal Difference Reinforcement Learning. Annals OR 134(1): 215-238 (2005)

Shie Mannor, John N. Tsitsiklis: On the Empirical State-Action Frequencies in Markov Decision Processes Under General Policies. Math. Oper. Res. 30(3): 545-561 (2005)

Ramesh Johari, Shie Mannor, John N. Tsitsiklis: Efficiency loss in a network resource allocation game: the case of elastic supply. IEEE Trans. Automat. Contr. 50(11): 1712-1724 (2005)

Yaakov Engel, Shie Mannor, Ron Meir: Reinforcement learning with Gaussian processes. ICML 2005: 201-208

Shie Mannor, Dori Peleg, Reuven Y. Rubinstein: The cross entropy method for classification. ICML 2005: 561-568

Ramesh Johari, Shie Mannor, John N. Tsitsiklis: Efficiency Loss in a Network Resource Allocation Game: The Case of Elastic Supply. CoRR abs/cs/0506054 (2005)

Shie Mannor, Nahum Shimkin: A Geometric Approach to Multi-Criterion Reinforcement Learning. Journal of Machine Learning Research 5: 325-360 (2004)

Shie Mannor, John N. Tsitsiklis: The Sample Complexity of Exploration in the Multi-Armed Bandit Problem. Journal of Machine Learning Research 5: 623-648 (2004)

Yaakov Engel, Shie Mannor, Ron Meir: The kernel recursive least-squares algorithm. IEEE Transactions on Signal Processing 52(8): 2275-2285 (2004)

Shie Mannor: Reinforcement Learning for Average Reward Zero-Sum Games. COLT 2004: 49-63

Constantine Caramanis, Shie Mannor: An Inequality for Nearly Log-Concave Distributions with Applications to Learning. COLT 2004: 534-548

Shie Mannor, Ishai Menache, Amit Hoze, Uri Klein: Dynamic abstraction in reinforcement learning via clustering. ICML 2004

Shie Mannor, Duncan Simester, Peng Sun, John N. Tsitsiklis: Bias and variance in value function estimation. ICML 2004

Shie Mannor, Ron Meir, Tong Zhang: Greedy Algorithms for Classification -- Consistency, Convergence Rates, and Adaptivity. Journal of Machine Learning Research 4: 713-741 (2003)

Shie Mannor, Nahum Shimkin: The Empirical Bayes Envelope and Regret Minimization in Competitive Markov Decision Processes. Math. Oper. Res. 28(2): 327-345 (2003)

Shie Mannor, John N. Tsitsiklis: Lower Bounds on the Sample Complexity of Exploration in the Multi-armed Bandit Problem. COLT 2003: 418-432

Shie Mannor, Nahum Shimkin: On-Line Learning with Imperfect Monitoring. COLT 2003: 552-566

Yaakov Engel, Shie Mannor, Ron Meir: Bayes Meets Bellman: The Gaussian Process Approach to Temporal Difference Learning. ICML 2003: 154-161

Eyal Even-Dar, Shie Mannor, Yishay Mansour: Action Elimination and Stopping Conditions for Reinforcement Learning. ICML 2003: 162-169

Shie Mannor, Reuven Y. Rubinstein, Yohai Gat: The Cross Entropy Method for Fast Policy Search. ICML 2003: 512-519

Shie Mannor, Ron Meir: On the Existence of Linear Weak Learners and Applications to Boosting. Machine Learning 48(1-3): 219-251 (2002)

Eyal Even-Dar, Shie Mannor, Yishay Mansour: PAC Bounds for Multi-armed Bandit and Markov Decision Processes. COLT 2002: 255-270

Shie Mannor, Ron Meir, Tong Zhang: The Consistency of Greedy Algorithms for Classification. COLT 2002: 319-333

Yaakov Engel, Shie Mannor, Ron Meir: Sparse Online Greedy Support Vector Regression. ECML 2002: 84-96

Ishai Menache, Shie Mannor, Nahum Shimkin: Q-Cut - Dynamic Discovery of Sub-goals in Reinforcement Learning. ECML 2002: 295-306

Shie Mannor, Nahum Shimkin: Adaptive Strategies and Regret Minimization in Arbitrarily Varying Markov Environments. COLT/EuroCOLT 2001: 128-142

Shie Mannor, Ron Meir: Geometric Bounds for Generalization in Boosting. COLT/EuroCOLT 2001: 461-472

Yaakov Engel, Shie Mannor: Learning Embedded Maps of Markov Processes. ICML 2001: 138-145

Shie Mannor, Nahum Shimkin: The Steering Approach for Multi-Criteria Reinforcement Learning. NIPS 2001: 1563-1570

Shie Mannor, Ron Meir: Weak Learners and Improved Rates of Convergence in Boosting. NIPS 2000: 280-286