default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-12-09 23:25 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
