ALT 2013 Accepted Papers

Pierre Alquier. Bayesian Methods for Low-Rank Matrix Estimation: Short Survey and Theoretical Study
Daniil Ryabko. Unsupervised Model-Free Representation Learning
Vladimir V'yugin. Universal Algorithm for Trading in Stock Market Based on the Method of Calibration
Tor Lattimore, Marcus Hutter and Peter Sunehag. Concentration and Confidence for Discrete Bayesian Sequence Predictors
Ziyuan Gao, Frank Stephan and Sandra Zilles. Partial Learning of Recursively Enumerable Languages
Anna Choromanska, Tony Jebara, Hyungtae Kim, Mahesh Mohan, and Claire Monteleoni. Fast Spectral Clustering via the Nyström Method
Po-Ling Loh and Sebastian Nowozin. Faster Hoeffding Racing: Bernstein Races via Jackknife Estimates
Anna Choromanska, Krzysztof Choromanski, Geetha Jagannathan, and Claire Monteleoni. Differentially-Private Learning of Low Dimensional Manifolds
Aaditya Ramdas and Aarti Singh. Active Learning and Stochastic Convex Optimization
Malte Darnstädt, Thorsten Doliwa, Hans Ulrich Simon, and Sandra Zilles. Order Compression Schemes
Nguyen Viet Cuong, Lam Si Tung Ho, and Vu Dinh. Generalization and Robustness of Batched Weighted Average Algorithm with V-Geometrically Ergodic Markov Data
Odalric-Ambrym Maillard. Robust Risk-Averse Stochastic Multi-Armed Bandits
Azadeh Khaleghi and Daniil Ryabko. Nonparametric Multiple Change Point Estimation in Highly Dependent Time Series
Takahiro Fujita, Kohei Hatano and Eiji Takimoto. Combinatorial Online Prediction via Metarounding
Jara Uitto and Roger Wattenhofer. On Competitive Recommendations
Gergely Neu and Gábor Bartók. An Efficient Algorithm for Learning with Semi-Bandit Feedback
Lee-Ad Gottlieb, Aryeh Kontorovich, and Robert Krauthgamer. Adaptive Metric Dimensionality Reduction
John Case and Timo Kötzing. Topological Separations in Inductive Inference
Jagadish M and Anindya Sen. Learning a Bounded-Degree Tree using Separator Queries
Laurent Orseau and Tor Lattimore. Universal Knowledge-Seeking Agents for Stochastic Environments
Ata Kaban and Robert Durrant. Dimension-Adaptive Bounds on Compressive FLD Classification
Jiazhong Nie, Wojciech Kotłowski and Manfred Warmuth. On-line PCA with Optimal Regrets
Chihiro Shibata and Ryo Yoshinaka. PAC Learning of Some Subclasses of Context-Free Grammars with Basic Distributional Properties

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