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ORCIDTheoretical Computer Science, Volume 519
Volume 519, January 2014
- Jyrki Kivinen
, Csaba Szepesvári, Thomas Zeugmann:
Guest Editors' introduction. 1-3
- Sébastien Gerchinovitz, Jia Yuan Yu:
Adaptive and optimal online linear regression on l1-balls. 4-28 - Manfred K. Warmuth, Wouter M. Koolen, David P. Helmbold:
Combining initial segments of lists. 29-45 - Antoine Salomon, Jean-Yves Audibert:
Robustness of stochastic bandit policies. 46-67 - Malte Darnstädt, Hans Ulrich Simon, Balázs Szörényi:
Supervised learning and Co-training. 68-87 - Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan:
Accelerated training of max-margin Markov networks with kernels. 88-102 - Corinna Cortes, Mehryar Mohri:
Domain adaptation and sample bias correction theory and algorithm for regression. 103-126 - Laurent Orseau:
Universal knowledge-seeking agents. 127-139 - Tor Lattimore, Marcus Hutter:
General time consistent discounting. 140-154 - Timo Kötzing:
Iterative learning from positive data and counters. 155-169
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