Papers
The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers
Luca Oneto, Davide Anguita, Alessandro Ghio et al.
The Indian Buffet Process: An Introduction and Review
Thomas L. Griffiths, Zoubin Ghahramani
The Kernel Beta Process
Lu Ren, Yingjian Wang, Lawrence Carin et al.
The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond
Aurélien Garivier, Olivier Cappé
The Local Rademacher Complexity of Lp-Norm Multiple Kernel Learning
Marius Kloft, Gilles Blanchard
The Manifold Tangent Classifier
Salah Rifai, Yann N. Dauphin, Pascal Vincent et al.
The Motion Grammar: Linguistic Perception, Planning, and Control
Neil Dantam, Mike Stilman
The Neural Autoregressive Distribution Estimator
Hugo Larochelle, Iain Murray
Theoretical Analysis of Bayesian Matrix Factorization
Shinichi Nakajima, Masashi Sugiyama
The Rate of Convergence of Adaboost
Indraneel Mukherjee, Cynthia Rudin, Robert E. Schapire
The Sample Complexity of Dictionary Learning
Daniel Vainsencher, Shie Mannor, Alfred M. Bruckstein
The Sample Complexity of Dictionary Learning
Daniel Vainsencher, Shie Mannor, Alfred M. Bruckstein
The Sample Complexity of Self-Verifying Bayesian Active Learning
Liu Yang, Steve Hanneke, Jaime Carbonell
The Stationary Subspace Analysis Toolbox
Jan Saputra Müller, Paul von Bünau, Frank C. Meinecke et al.
Thinning Measurement Models and Questionnaire Design
Ricardo Silva
Tight conditions for consistent variable selection in high dimensional nonparametric regression
Laëtitia Comminges, Arnak S. Dalalyan
Tighter Relaxations for MAP-MRF Inference: A Local Primal-Dual Gap based Separation Algorithm
Dhruv Batra, Sebastian Nowozin, Pushmeet Kohli
TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents
Ramesh Nallapati, Daniel McFarland, Christopher Manning
Trace Lasso: a trace norm regularization for correlated designs
Edouard Grave, Guillaume R. Obozinski, Francis R. Bach
Tracking-Based Semi-Supervised Learning
Alex Teichman, Sebastian Thrun
Training SVMs Without Offset
Ingo Steinwart, Don Hush, Clint Scovel
Transfer from Multiple MDPs
Alessandro Lazaric, Marcello Restelli
Transfer Learning by Borrowing Examples for Multiclass Object Detection
Joseph J. Lim, Ruslan Salakhutdinov, Antonio Torralba
Two Distributed-State Models For Generating High-Dimensional Time Series
Graham W. Taylor, Geoffrey E. Hinton, Sam T. Roweis
Two is better than one: distinct roles for familiarity and recollection in retrieving palimpsest memories
Cristina Savin, Peter Dayan, Máté Lengyel