Papers
Information, Divergence and Risk for Binary Experiments
Mark D. Reid, Robert C. Williamson
Inverse Reinforcement Learning in Partially Observable Environments
Jaedeug Choi, Kee-Eung Kim
Efficient Structure Learning of Bayesian Networks using Constraints
Cassio P. de Campos, Qiang Ji
Parameter Screening and Optimisation for ILP using Designed Experiments
Ashwin Srinivasan, Ganesh Ramakrishnan
Regression on Fixed-Rank Positive Semidefinite Matrices: A Riemannian Approach
Gilles Meyer, Silvère Bonnabel, Rodolphe Sepulchre
Variable Sparsity Kernel Learning
Jonathan Aflalo, Aharon Ben-Tal, Chiranjib Bhattacharyya et al.
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning
Paramveer S. Dhillon, Dean Foster, Lyle H. Ungar
Learning Multi-modal Similarity
Brian McFee, Gert Lanckriet
Posterior Sparsity in Unsupervised Dependency Parsing
Jennifer Gillenwater, Kuzman Ganchev, Joã
Approximate Marginals in Latent Gaussian Models
Botond Cseke, Tom Heskes
Operator Norm Convergence of Spectral Clustering on Level Sets
Bruno Pelletier, Pierre Pudlo
Models of Cooperative Teaching and Learning
Sandra Zilles, Steffen Lange, Robert Holte et al.
A Bayesian Approximation Method for Online Ranking
Ruby C. Weng, Chih-Jen Lin
Logistic Stick-Breaking Process
Lu Ren, Lan Du, Lawrence Carin et al.
Training SVMs Without Offset
Ingo Steinwart, Don Hush, Clint Scovel
Bayesian Generalized Kernel Mixed Models
Zhihua Zhang, Guang Dai, Michael I. Jordan
CARP: Software for Fishing Out Good Clustering Algorithms
Volodymyr Melnykov, Ranjan Maitra
Improved Moves for Truncated Convex Models
M. Pawan Kumar, Olga Veksler, Philip H.S. Torr
Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation
Yizhao Ni, Craig Saunders, Sandor Szedmak et al.
Monotone multi-armed bandit allocations
Aleksandrs Slivkins
Missing Information Impediments to Learnability
Loizos Michael
Minimax Algorithm for Learning Rotations
Wojciech Kotłowski, Manfred K. Warmuth