E-grāmata: Algorithmic Learning Theory: 24th International Conference, ALT 2013, Singapore, October 6-9, 2013, Proceedings

Editors Introduction.- Learning and Optimizing with Preferences.-
Efficient Algorithms for Combinatorial Online Prediction.- Exact Learning
from Membership Queries: Some Techniques, Results and New Directions.- Online
Learning Universal Algorithm for Trading in Stock Market Based on the Method
of Calibration.- Combinatorial Online Prediction via Metarounding.- On
Competitive Recommendations.- Online PCA with Optimal Regrets.- Inductive
Inference and Grammatical Inference Partial Learning of Recursively
Enumerable Languages.- Topological Separations in Inductive Inference.- PAC
Learning of Some Subclasses of Context-Free Grammars with Basic
Distributional Properties from Positive Data.- Universal Knowledge-Seeking
Agents for Stochastic Environments.- Teaching and Learning from Queries Order
Compression Schemes.- Learning a Bounded-Degree Tree Using Separator
Queries.- Faster Hoeffding Racing: Bernstein Races via Jackknife Estimates.-
Robust Risk-Averse Stochastic Multi-armed Bandits.- An Efficient Algorithm
for Learning with Semi-bandit Feedback.- Differentially-Private Learning of
Low Dimensional Manifolds.- Generalization and Robustness of Batched Weighted
Average Algorithm with V-Geometrically Ergodic Markov Data.- Adaptive Metric
Dimensionality Reduction.- Dimension-Adaptive Bounds on Compressive FLD
Classification.- Bayesian Methods for Low-Rank Matrix Estimation: Short
Survey and Theoretical Study.- Concentration and Confidence for Discrete
Bayesian Sequence Predictors.- Algorithmic Connections between Active
Learning and Stochastic Convex Optimization.- Unsupervised/Semi-Supervised
Learning Unsupervised Model-Free Representation Learning.- Fast Spectral
Clustering via the Nyström Method.- Nonparametric Multiple Change Point
Estimation in Highly Dependent Time Series.