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Shie Mannor

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2008
59 Branislav Kveton, Jia Yuan Yu, Georgios Theocharous, Shie Mannor: Online Learning with Expert Advice and Finite-Horizon Constraints. AAAI 2008: 331-336
58EEConstantine Caramanis, Shie Mannor: Learning in the Limit with Adversarial Disturbances. COLT 2008: 467-478
57EEJia Yuan Yu, Shie Mannor, Nahum Shimkin: Markov Decision Processes with Arbitrary Reward Processes. EWRL 2008: 268-281
56EEKirill Dyagilev, Shie Mannor, Nahum Shimkin: Efficient Reinforcement Learning in Parameterized Models: Discrete Parameter Case. EWRL 2008: 41-54
55EEAmir Massoud Farahmand, Mohammad Ghavamzadeh, Csaba Szepesvári, Shie Mannor: Regularized Fitted Q-Iteration: Application to Planning. EWRL 2008: 55-68
54EEJordan Frank, Shie Mannor, Doina Precup: Reinforcement learning in the presence of rare events. ICML 2008: 336-343
53EEHuan Xu, Constantine Caramanis, Shie Mannor: Robust Regression and Lasso. NIPS 2008: 1801-1808
52EEAmir Massoud Farahmand, Mohammad Ghavamzadeh, Csaba Szepesvári, Shie Mannor: Regularized Policy Iteration. NIPS 2008: 441-448
51EEEsteban Arcaute, Ramesh Johari, Shie Mannor: Local Two-Stage Myopic Dynamics for Network Formation Games. WINE 2008: 263-277
50EEHuan Xu, Shie Mannor, Constantine Caramanis: Robustness, Risk, and Regularization in Support Vector Machines CoRR abs/0803.3490: (2008)
49EEHuan Xu, Constantine Caramanis, Shie Mannor: Robust Regression and Lasso CoRR abs/0811.1790: (2008)
2007
48 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
47 Chih-Han Yu, Shie Mannor, Georgios Theocharous, Avi Pfeffer: User Model and Utility Based Power Management. AAAI 2007: 1918-1919
46EEGábor Lugosi, Shie Mannor, Gilles Stoltz: Strategies for Prediction Under Imperfect Monitoring. COLT 2007: 248-262
45EEBenoît Châtelain, Shie Mannor, François Gagnon, David V. Plant: Non-Cooperative Design of Translucent Networks. GLOBECOM 2007: 2348-2352
44EEErick Delage, Shie Mannor: Percentile optimization in uncertain Markov decision processes with application to efficient exploration. ICML 2007: 225-232
43EESaeed Sharifi Tehrani, Shie Mannor, Warren J. Gross: Survey of Stochastic Computation on Factor Graphs. ISMVL 2007: 54
42EEFariba Heidari, Shie Mannor, Lorne Mason: Reinforcement Learning-Based Load Shared Sequential Routing. Networking 2007: 832-843
41EEEsteban Arcaute, Ramesh Johari, Shie Mannor: Network Formation: Bilateral Contracting and Myopic Dynamics. WINE 2007: 191-207
40EEShie Mannor, Jeff S. Shamma: Multi-agent learning for engineers. Artif. Intell. 171(7): 417-422 (2007)
39EEGábor Lugosi, Shie Mannor, Gilles Stoltz: Strategies for prediction under imperfect monitoring CoRR abs/math/0701419: (2007)
38EEJia 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)
37EEConstantine Caramanis, Shie Mannor: An Inequality for Nearly Log-Concave Distributions With Applications to Learning. IEEE Transactions on Information Theory 53(3): 1043-1057 (2007)
36EEShie 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)
2006
35EEShie Mannor, Nahum Shimkin: Online Learning with Variable Stage Duration. COLT 2006: 408-422
34EEShie Mannor, John N. Tsitsiklis: Online Learning with Constraints. COLT 2006: 529-543
33EEPhilipp W. Keller, Shie Mannor, Doina Precup: Automatic basis function construction for approximate dynamic programming and reinforcement learning. ICML 2006: 449-456
32EEJia Yuan Yu, Shie Mannor: Asymptotics of Efficiency Loss in Competitive Market Mechanisms. INFOCOM 2006
31EEHuan Xu, Shie Mannor: The Robustness-Performance Tradeoff in Markov Decision Processes. NIPS 2006: 1537-1544
30EEEyal 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)
2005
29EEYaakov Engel, Shie Mannor, Ron Meir: Reinforcement learning with Gaussian processes. ICML 2005: 201-208
28EEShie Mannor, Dori Peleg, Reuven Y. Rubinstein: The cross entropy method for classification. ICML 2005: 561-568
27 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)
26EEPieter-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)
25EEIshai Menache, Shie Mannor, Nahum Shimkin: Basis Function Adaptation in Temporal Difference Reinforcement Learning. Annals OR 134(1): 215-238 (2005)
24EERamesh Johari, Shie Mannor, John N. Tsitsiklis: Efficiency Loss in a Network Resource Allocation Game: The Case of Elastic Supply CoRR abs/cs/0506054: (2005)
2004
23EEShie Mannor: Reinforcement Learning for Average Reward Zero-Sum Games. COLT 2004: 49-63
22EEConstantine Caramanis, Shie Mannor: An Inequality for Nearly Log-Concave Distributions with Applications to Learning. COLT 2004: 534-548
21EEShie Mannor, Duncan Simester, Peng Sun, John N. Tsitsiklis: Bias and variance in value function estimation. ICML 2004
20EEShie Mannor, Ishai Menache, Amit Hoze, Uri Klein: Dynamic abstraction in reinforcement learning via clustering. ICML 2004
19EEShie Mannor, Nahum Shimkin: A Geometric Approach to Multi-Criterion Reinforcement Learning. Journal of Machine Learning Research 5: 325-360 (2004)
18EEShie Mannor, John N. Tsitsiklis: The Sample Complexity of Exploration in the Multi-Armed Bandit Problem. Journal of Machine Learning Research 5: 623-648 (2004)
2003
17EEShie Mannor, John N. Tsitsiklis: Lower Bounds on the Sample Complexity of Exploration in the Multi-armed Bandit Problem. COLT 2003: 418-432
16EEShie Mannor, Nahum Shimkin: On-Line Learning with Imperfect Monitoring. COLT 2003: 552-566
15 Yaakov Engel, Shie Mannor, Ron Meir: Bayes Meets Bellman: The Gaussian Process Approach to Temporal Difference Learning. ICML 2003: 154-161
14 Eyal Even-Dar, Shie Mannor, Yishay Mansour: Action Elimination and Stopping Conditions for Reinforcement Learning. ICML 2003: 162-169
13 Shie Mannor, Reuven Y. Rubinstein, Yohai Gat: The Cross Entropy Method for Fast Policy Search. ICML 2003: 512-519
12EEShie Mannor, Ron Meir, Tong Zhang: Greedy Algorithms for Classification -- Consistency, Convergence Rates, and Adaptivity. Journal of Machine Learning Research 4: 713-741 (2003)
11EEShie Mannor, Nahum Shimkin: The Empirical Bayes Envelope and Regret Minimization in Competitive Markov Decision Processes. Math. Oper. Res. 28(2): 327-345 (2003)
2002
10EEEyal Even-Dar, Shie Mannor, Yishay Mansour: PAC Bounds for Multi-armed Bandit and Markov Decision Processes. COLT 2002: 255-270
9EEShie Mannor, Ron Meir, Tong Zhang: The Consistency of Greedy Algorithms for Classification. COLT 2002: 319-333
8EEIshai Menache, Shie Mannor, Nahum Shimkin: Q-Cut - Dynamic Discovery of Sub-goals in Reinforcement Learning. ECML 2002: 295-306
7EEYaakov Engel, Shie Mannor, Ron Meir: Sparse Online Greedy Support Vector Regression. ECML 2002: 84-96
6 Shie Mannor, Ron Meir: On the Existence of Linear Weak Learners and Applications to Boosting. Machine Learning 48(1-3): 219-251 (2002)
2001
5EEShie Mannor, Nahum Shimkin: Adaptive Strategies and Regret Minimization in Arbitrarily Varying Markov Environments. COLT/EuroCOLT 2001: 128-142
4EEShie Mannor, Ron Meir: Geometric Bounds for Generalization in Boosting. COLT/EuroCOLT 2001: 461-472
3 Yaakov Engel, Shie Mannor: Learning Embedded Maps of Markov Processes. ICML 2001: 138-145
2EEShie Mannor, Nahum Shimkin: The Steering Approach for Multi-Criteria Reinforcement Learning. NIPS 2001: 1563-1570
2000
1 Shie Mannor, Ron Meir: Weak Learners and Improved Rates of Convergence in Boosting. NIPS 2000: 280-286

Coauthor Index

1Sarabjot S. Anand (Sarab S. Anand) [27]
2Esteban Arcaute [41] [51]
3Gürdal Arslan [36]
4Bettina Berendt [27]
5Pieter-Tjerk de Boer [26]
6Piero P. Bonissone [27]
7Constantine Caramanis [22] [37] [49] [50] [53] [58]
8Benoît Châtelain [45]
9William Cheetham [27]
10Silvia Coradeschi [27]
11Daniel D. Corkill [27]
12Erick Delage [44]
13Frank Dignum (F. P. M. Dignum) [27]
14Virginia Dignum [27]
15Kirill Dyagilev [56]
16Yaakov Engel [3] [7] [15] [29]
17Eyal Even-Dar [10] [14] [30]
18Amir Massoud Farahmand [52] [55]
19Daniela Pucci de Farias [27]
20Jordan Frank [54]
21Dan Fu [27]
22François Gagnon [45]
23Prashant Gandhi [48]
24Yohai Gat [13]
25Mohammad Ghavamzadeh [27] [52] [55]
26Kai Goebel [27]
27Warren J. Gross [43]
28Hans W. Guesgen [27]
29Fariba Heidari [42]
30Andreas Hotho [27]
31Amit Hoze [20]
32Ramesh Johari [24] [41] [51]
33Randolph M. Jones [27]
34Catholijn M. Jonker [27]
35Philipp W. Keller [33]
36Uri Klein [20]
37Dirk P. Kroese [26]
38Branislav Kveton [48] [59]
39Gábor Lugosi [39] [46]
40Yishay Mansour [10] [14] [30]
41Lorne Mason [42]
42Ron Meir (Ronny Meir) [1] [4] [6] [7] [9] [12] [15] [29]
43Ishai Menache [8] [20] [25]
44Bamshad Mobasher [27]
45Ion Muslea [27]
46Jeff Orkin [27]
47Dori Peleg [28]
48Avi Pfeffer [47]
49David V. Plant [45]
50Doina Precup [27] [33] [54]
51Barbara Rosario [48]
52Michael T. Rosenstein [27]
53Reuven Y. Rubinstein [13] [26] [28]
54Alessandro Saffiotti [27]
55Matthias Scheutz [27]
56Nilesh Shah [48]
57Jeff S. Shamma [36] [40]
58Nahum Shimkin [2] [5] [8] [11] [16] [19] [25] [35] [56] [57]
59Duncan Simester [21]
60Leen-Kiat Soh [27]
61Gilles Stoltz [39] [46]
62Peng Sun [21]
63Csaba Szepesvári [52] [55]
64Saeed Sharifi Tehrani [43]
65Georgios Theocharous [27] [47] [48] [59]
66John N. Tsitsiklis [17] [18] [21] [24] [34]
67Robert E. Wray III [27]
68Huan Xu [31] [49] [50] [53]
69Chih-Han Yu [47]
70Jia Yuan Yu [32] [38] [57] [59]
71Tong Zhang [9] [12]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)