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Theoretical Computer Science, Volume 558

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Volume 558, November 2014

Algorithmic Learning Theory
Editorial

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  - journals/tcs/BshoutySVZ14
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Nader H. Bshouty, Gilles Stoltz, Nicolas Vayatis, Thomas Zeugmann:
Guest Editors' foreword. 1-4

Special issue articles

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Ziyuan Gao, Frank Stephan:
Confident and consistent partial learning of recursive functions. 5-17
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  - journals/tcs/FlorencioV14
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Christophe Costa Florêncio, Sicco Verwer:
Regular inference as vertex coloring. 18-34
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  - journals/tcs/SameiSYZ14
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Rahim Samei, Pavel Semukhin, Boting Yang, Sandra Zilles:
Algebraic methods proving Sauer's bound for teaching complexity. 35-50
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  - journals/tcs/Ben-DavidR14
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Shalev Ben-David, Lev Reyzin:
Data stability in clustering: A closer look. 51-61
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  - journals/tcs/OrtnerRAM14
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Ronald Ortner, Daniil Ryabko, Peter Auer, Rémi Munos:
Regret bounds for restless Markov bandits. 62-76
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  - journals/tcs/CarpentierM14
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Alexandra Carpentier, Rémi Munos:
Minimax number of strata for online stratified sampling: The case of noisy samples. 77-106
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  - journals/tcs/MoroshkoC14
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Edward Moroshko, Koby Crammer:
Weighted last-step min-max algorithm with improved sub-logarithmic regret. 107-124
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  - journals/tcs/LattimoreH14a
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Tor Lattimore, Marcus Hutter:
Near-optimal PAC bounds for discounted MDPs. 125-143
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Wouter M. Koolen, Vladimir Vovk:
Buy low, sell high. 144-158
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Manfred K. Warmuth, Wojciech Kotlowski, Shuisheng Zhou:
Kernelization of matrix updates, when and how? 159-178

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