ALT 2013 Accepted Papers
Bayesian Methods for Low-Rank Matrix Estimation:
Short Survey and Theoretical Study
Unsupervised Model-Free Representation Learning
Universal Algorithm for Trading in Stock Market Based
on the Method of Calibration
Concentration and Confidence for Discrete Bayesian
Sequence Predictors
Partial Learning of Recursively Enumerable Languages
Fast Spectral Clustering via the Nyström Method
Faster Hoeffding Racing:
Bernstein Races via Jackknife Estimates
Differentially-Private Learning of Low Dimensional Manifolds
Active Learning and Stochastic Convex Optimization
Order Compression Schemes
Generalization and Robustness
of Batched Weighted Average Algorithm with V-Geometrically Ergodic Markov Data
Robust Risk-Averse Stochastic Multi-Armed Bandits
Nonparametric Multiple Change Point
Estimation in Highly Dependent Time Series
Combinatorial Online
Prediction via Metarounding
On Competitive Recommendations
An Efficient Algorithm for Learning
with Semi-Bandit Feedback
Adaptive Metric Dimensionality Reduction
Topological Separations in Inductive Inference
Learning a Bounded-Degree Tree using Separator Queries
Universal Knowledge-Seeking Agents
for Stochastic Environments
Dimension-Adaptive Bounds on Compressive
FLD Classification
On-line PCA with Optimal Regrets
PAC Learning of Some Subclasses of
Context-Free Grammars with Basic Distributional Properties
