22. ALT 2011: Espoo, Finland

Jyrki Kivinen, Csaba Szepesvári, Esko Ukkonen, Thomas Zeugmann (Eds.): Algorithmic Learning Theory - 22nd International Conference, ALT 2011, Espoo, Finland, October 5-7, 2011. Proceedings. Lecture Notes in Computer Science 6925 Springer 2011, ISBN 978-3-642-24411-7

Editors' Introduction

Peter Auer, Shiau Hong Lim, Chris Watkins:
Models for Autonomously Motivated Exploration in Reinforcement Learning - (Extended Abstract). 14-17
Yoshua Bengio, Olivier Delalleau:
On the Expressive Power of Deep Architectures. 18-36
Jorma Rissanen:
Optimal Estimation. 37
Eyke Hüllermeier, Johannes Fürnkranz:
Learning from Label Preferences. 38
Ming Li:
Information Distance and Its Extensions. 39

Timo Kötzing:
Iterative Learning from Positive Data and Counters. 40-54
Sanjay Jain, Eric Martin, Frank Stephan:
Robust Learning of Automatic Classes of Languages. 55-69
Sanjay Jain, Eric Martin, Frank Stephan:
Learning and Classifying. 70-83
Michael Geilke, Sandra Zilles:
Learning Relational Patterns. 84-98

Sébastien Gerchinovitz, Jia Yuan Yu:
Adaptive and Optimal Online Linear Regression on ℓ1-Balls. 99-113
Nina Vaits, Koby Crammer:
Re-adapting the Regularization of Weights for Non-stationary Regression. 114-128
Arnak S. Dalalyan, Joseph Salmon:
Competing against the Best Nearest Neighbor Filter in Regression. 129-143

Sébastien Bubeck, Gilles Stoltz, Jia Yuan Yu:
Lipschitz Bandits without the Lipschitz Constant. 144-158
Antoine Salomon, Jean-Yves Audibert:
Deviations of Stochastic Bandit Regret. 159-173
Aurélien Garivier, Eric Moulines:
On Upper-Confidence Bound Policies for Switching Bandit Problems. 174-188
Alexandra Carpentier, Alessandro Lazaric, Mohammad Ghavamzadeh, Rémi Munos, Peter Auer:
Upper-Confidence-Bound Algorithms for Active Learning in Multi-armed Bandits. 189-203

Constantinos Panagiotakopoulos, Petroula Tsampouka:
The Perceptron with Dynamic Margin. 204-218
Manfred K. Warmuth, Wouter M. Koolen, David P. Helmbold:
Combining Initial Segments of Lists. 219-233
Eyal Gofer, Yishay Mansour:
Regret Minimization Algorithms for Pricing Lookback Options. 234-248
Chi-Jen Lu, Wei-Fu Lu:
Making Online Decisions with Bounded Memory. 249-261
Tor Lattimore, Marcus Hutter, Vaibhav Gavane:
Universal Prediction of Selected Bits. 262-276
Brendan Juba, Santosh Vempala:
Semantic Communication for Simple Goals Is Equivalent to On-line Learning. 277-291

Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan:
Accelerated Training of Max-Margin Markov Networks with Kernels. 292-307
Corinna Cortes, Mehryar Mohri:
Domain Adaptation in Regression. 308-323
Daiki Suehiro, Kohei Hatano, Eiji Takimoto:
Approximate Reduction from AUC Maximization to 1-Norm Soft Margin Optimization. 324-337

Peter Sunehag, Marcus Hutter:
Axioms for Rational Reinforcement Learning. 338-352
Laurent Orseau:
Universal Knowledge-Seeking Agents. 353-367
Tor Lattimore, Marcus Hutter:
Asymptotically Optimal Agents. 368-382
Tor Lattimore, Marcus Hutter:
Time Consistent Discounting. 383-397

Anna Kasprzik, Ryo Yoshinaka:
Distributional Learning of Simple Context-Free Tree Grammars. 398-412
Elena Grigorescu, Lev Reyzin, Santosh Vempala:
On Noise-Tolerant Learning of Sparse Parities and Related Problems. 413-424
Malte Darnstädt, Hans-Ulrich Simon, Balázs Szörényi:
Supervised Learning and Co-training. 425-439
Shalev Ben-David, Shai Ben-David:
Learning a Classifier when the Labeling Is Known. 440-451

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