Papers
Bayesian Nonparametric Hidden Semi-Markov Models
Matthew J. Johnson, Alan S. Willsky
CODA: High Dimensional Copula Discriminant Analysis
Fang Han, Tuo Zhao, Han Liu
A C++ Template-Based Reinforcement Learning Library: Fitting the Code to the Mathematics
Hervé Frezza-Buet, Matthieu Geist
Optimal Discovery with Probabilistic Expert Advice: Finite Time Analysis and Macroscopic Optimality
Sébastien Bubeck, Damien Ernst, Aurélien Garivier
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization
Shai Shalev-Shwartz, Tong Zhang
Algorithms for Discovery of Multiple Markov Boundaries
Alexander Statnikov, Nikita I. Lytkin, Jan Lemeire et al.
A Theory of Multiclass Boosting
Indraneel Mukherjee, Robert E. Schapire
Ranked Bandits in Metric Spaces: Learning Diverse Rankings over Large Document Collections
Aleksandrs Slivkins, Filip Radlinski, Sreenivas Gollapudi
Fast Generalized Subset Scan for Anomalous Pattern Detection
Edward McFowland III, Skyler Speakman, Daniel B. Neill
On the Learnability of Shuffle Ideals
Dana Angluin, James Aspnes, Sarah Eisenstat et al.
A Framework for Evaluating Approximation Methods for Gaussian Process Regression
Krzysztof Chalupka, Christopher K. I. Williams, Iain Murray
Using Symmetry and Evolutionary Search to Minimize Sorting Networks
Vinod K. Valsalam, Risto Miikkulainen
Sparse Single-Index Model
Pierre Alquier, Gérard Biau
MAGIC Summoning: Towards Automatic Suggesting and Testing of Gestures With Low Probability of False Positives During Use
Daniel Kyu Hwa Kohlsdorf, Thad E. Starner
Lower Bounds and Selectivity of Weak-Consistent Policies in Stochastic Multi-Armed Bandit Problem
Antoine Salomon, Jean-Yves Audibert, Issam El Alaoui
Pairwise Likelihood Ratios for Estimation of Non-Gaussian Structural Equation Models
Aapo Hyvärinen, Stephen M. Smith
Nested Expectation Propagation for Gaussian Process Classification with a Multinomial Probit Likelihood
Jaakko Riihimäki, Pasi Jylänki, Aki Vehtari
Ranking Forests
Stéphan Clémençon, Marine Depecker, Nicolas Vayatis
Global Analytic Solution of Fully-observed Variational Bayesian Matrix Factorization
Shinichi Nakajima, Masashi Sugiyama, S. Derin Babacan et al.
Estimation of Causal Peer Influence Effects
Panos Toulis, Edward Kao
On A Nonlinear Generalization of Sparse Coding and Dictionary Learning
Jeffrey Ho, Yuchen Xie, Baba Vemuri
Coco-Q: Learning in Stochastic Games with Side Payments
Eric Sodomka, Elizabeth Hilliard, Michael Littman et al.
Adaptive Hamiltonian and Riemann Manifold Monte Carlo
Ziyu Wang, Shakir Mohamed, Nando Freitas
Online Learning under Delayed Feedback
Pooria Joulani, Andras Gyorgy, Csaba Szepesvari