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Semantic Scholar23. COLT 2010: Haifa, Israel
Adam Tauman Kalai, Mehryar Mohri:
COLT 2010 - The 23rd Conference on Learning Theory, Haifa, Israel, June 27-29, 2010. Omnipress 2010, ISBN 978-0-9822529-2-5- John C. Duchi, Shai Shalev-Shwartz, Yoram Singer, Ambuj Tewari:
Composite Objective Mirror Descent. 14-26 - Alekh Agarwal, Ofer Dekel, Lin Xiao:
Optimal Algorithms for Online Convex Optimization with Multi-Point Bandit Feedback. 28-40 - Jean-Yves Audibert, Sébastien Bubeck, Rémi Munos:
Best Arm Identification in Multi-Armed Bandits. 41-53 - Junya Honda, Akimichi Takemura:
An Asymptotically Optimal Bandit Algorithm for Bounded Support Models. 67-79 - Eyal Even-Dar, Shie Mannor, Yishay Mansour:
Learning with Global Cost in Stochastic Environments. 80-92 - Sascha Geulen, Berthold Vöcking, Melanie Winkler:
Regret Minimization for Online Buffering Problems Using the Weighted Majority Algorithm. 132-143 - Koby Crammer, Yishay Mansour, Eyal Even-Dar, Jennifer Wortman Vaughan:
Regret Minimization With Concept Drift. 168-180 - Dominik D. Freydenberger, Daniel Reidenbach:
Inferring Descriptive Generalisations of Formal Languages. 194-206 - Dmitry Gavinsky:
Quantum Predictive Learning and Communication Complexity with Single Input. 207-217 - Nicolò Cesa-Bianchi, Shai Shalev-Shwartz, Ohad Shamir:
Online Learning of Noisy Data with Kernels. 218-230 - Gergely Neu, András György, Csaba Szepesvári:
The Online Loop-free Stochastic Shortest-Path Problem. 231-243 - H. Brendan McMahan, Matthew J. Streeter:
Adaptive Bound Optimization for Online Convex Optimization. 244-256 - John C. Duchi, Elad Hazan, Yoram Singer:
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization. 257-269 - Margareta Ackerman, Shai Ben-David, David Loker:
Characterization of Linkage-based Clustering. 270-281 - Purnamrita Sarkar, Deepayan Chakrabarti, Andrew W. Moore:
Theoretical Justification of Popular Link Prediction Heuristics. 295-307 - Elad Hazan, Satyen Kale, Manfred K. Warmuth:
On-line Variance Minimization in O(n2) per Trial? COLT 2010: 314-315 - Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale, Giovanni Zappella:
Active Learning on Trees and Graphs. 320-332 - Daniel Golovin, Andreas Krause:
Adaptive Submodularity: A New Approach to Active Learning and Stochastic Optimization. 333-345 - Ofer Dekel, Claudio Gentile, Karthik Sridharan:
Robust Selective Sampling from Single and Multiple Teachers. 346-358 - Pranjal Awasthi, Avrim Blum, Or Sheffet:
Improved Guarantees for Agnostic Learning of Disjunctions. 359-367 - Adam R. Klivans, Homin K. Lee, Andrew Wan:
Mansour's Conjecture is True for Random DNF Formulas. 368-380 - Anupam Gupta, John D. Lafferty, Han Liu, Larry A. Wasserman, Min Xu:
Forest Density Estimation. 394-406 - Vladimir Koltchinskii, Stas Minsker:
Sparse Recovery in Convex Hulls of Infinite Dictionaries. 420-432 - Lee-Ad Gottlieb, Leonid Kontorovich, Robert Krauthgamer:
Efficient Classification for Metric Data. 433-440 - Shai Shalev-Shwartz, Ohad Shamir, Karthik Sridharan:
Learning Kernel-Based Halfspaces with the Zero-One Loss. 441-450 - Bastian Steudel, Dominik Janzing, Bernhard Schölkopf:
Causal Markov Condition for Submodular Information Measures. 464-476 - Huan Xu, Constantine Caramanis, Shie Mannor:
Principal Component Analysis with Contaminated Data: The High Dimensional Case. 490-502
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last updated on 2018-04-26 19:06 CEST by the dblp team