Papers
Gaussian processes with monotonicity information
Jaakko Riihimäki, Aki Vehtari
Convexity of Proper Composite Binary Losses
Mark Reid, Robert Williamson
Nonparametric prior for adaptive sparsity
Vikas Raykar, Linda Zhao
Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images
Marc’Aurelio Ranzato, Alex Krizhevsky, Geoffrey Hinton
Infinite Predictor Subspace Models for Multitask Learning
Piyush Rai, Hal Daumé III
REGO: Rank-based Estimation of Renyi Information using Euclidean Graph Optimization
Barnabas Poczos, Sergey Kirshner, Csaba Szepesvári
Identifying Cause and Effect on Discrete Data using Additive Noise Models
Jonas Peters, Dominik Janzing, Bernhard Schölkopf
Bayesian structure discovery in Bayesian networks with less space
Pekka Parviainen, Mikko Koivisto
A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection
Silvia Pandolfi, Francesco Bartolucci, Nial Friel
Approximation of hidden Markov models by mixtures of experts with application to particle filtering
Jimmy Olsson, Jonas Ströjby
Fluid Dynamics Models for Low Rank Discriminant Analysis
Yung–Kyun Noh, Byoung–Tak Zhang, Daniel Lee
Incremental Sparsification for Real-time Online Model Learning
Duy Nguyen–Tuong, Jan Peters
Near-Optimal Evasion of Convex-Inducing Classifiers
Blaine Nelson, Benjamin Rubinstein, Ling Huang et al.
Elliptical slice sampling
Iain Murray, Ryan Adams, David MacKay
Discriminative Topic Segmentation of Text and Speech
Mehryar Mohri, Pedro Moreno, Eugene Weinstein
Exploiting Within-Clique Factorizations in Junction-Tree Algorithms
Julian McAuley, Tiberio Caetano
Parallelizable Sampling of Markov Random Fields
James Martens, Ilya Sutskever
Inductive Principles for Restricted Boltzmann Machine Learning
Benjamin Marlin, Kevin Swersky, Bo Chen et al.
Supervised Dimension Reduction Using Bayesian Mixture Modeling
Kai Mao, Feng Liang, Sayan Mukherjee
Exploiting Feature Covariance in High-Dimensional Online Learning
Justin Ma, Alex Kulesza, Mark Dredze et al.
Contextual Multi-Armed Bandits
Tyler Lu, David Pal, Martin Pal
Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net
Alexander Lorbert, David Eis, Victoria Kostina et al.
Descent Methods for Tuning Parameter Refinement
Alexander Lorbert, Peter Ramadge
The Group Dantzig Selector
Han Liu, Jian Zhang, Xiaoye Jiang et al.
Simple Exponential Family PCA
Jun Li, Dacheng Tao