Papers
Improved Moves for Truncated Convex Models
M. Pawan Kumar, Olga Veksler, Philip H.S. Torr
In All Likelihood, Deep Belief Is Not Enough
Lucas Theis, Sebastian Gerwinn, Fabian Sinz et al.
Information, Divergence and Risk for Binary Experiments
Mark D. Reid, Robert C. Williamson
Information Rates of Nonparametric Gaussian Process Methods
Aad van der Vaart, Harry van Zanten
Introduction to the Special Topic on Grammar Induction, Representation of Language and Language Learning
Dorota Głowacka, John Shawe-Taylor, Alex Clark et al.
Inverse Reinforcement Learning in Partially Observable Environments
Jaedeug Choi, Kee-Eung Kim
Kernel Analysis of Deep Networks
Grégoire Montavon, Mikio L. Braun, Klaus-Robert Müller
Kernel Regression in the Presence of Correlated Errors
Kris De Brabanter, Jos De Brabanter, Johan A.K. Suykens et al.
Laplacian Support Vector Machines Trained in the Primal
Stefano Melacci, Mikhail Belkin
Large Margin Hierarchical Classification with Mutually Exclusive Class Membership
Huixin Wang, Xiaotong Shen, Wei Pan
Learning a Robust Relevance Model for Search Using Kernel Methods
Wei Wu, Jun Xu, Hang Li et al.
Learning from Partial Labels
Timothee Cour, Ben Sapp, Ben Taskar
Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates
Vincent Y.F. Tan, Animashree Anandkumar, Alan S. Willsky
Learning Latent Tree Graphical Models
Myung Jin Choi, Vincent Y.F. Tan, Animashree Anandkumar et al.
Learning Multi-modal Similarity
Brian McFee, Gert Lanckriet
Learning Transformation Models for Ranking and Survival Analysis
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens et al.
Learning with Structured Sparsity
Junzhou Huang, Tong Zhang, Dimitris Metaxas
Locally Defined Principal Curves and Surfaces
Umut Ozertem, Deniz Erdogmus
Logistic Stick-Breaking Process
Lu Ren, Lan Du, Lawrence Carin et al.
LPmade: Link Prediction Made Easy
Ryan N. Lichtenwalter, Nitesh V. Chawla
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning
Paramveer S. Dhillon, Dean Foster, Lyle H. Ungar
Models of Cooperative Teaching and Learning
Sandra Zilles, Steffen Lange, Robert Holte et al.
MSVMpack: A Multi-Class Support Vector Machine Package
Fabien Lauer, Yann Guermeur
MULAN: A Java Library for Multi-Label Learning
Grigorios Tsoumakas, Eleftherios Spyromitros-Xioufis, Jozef Vilcek et al.