Papers
Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets
Chiwoo Park, Jianhua Z. Huang, Yu Ding
-Armed Bandits
Sébastien Bubeck, Rémi Munos, Gilles Stoltz et al.
Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates
Vincent Y.F. Tan, Animashree Anandkumar, Alan S. Willsky
Double Updating Online Learning
Peilin Zhao, Steven C.H. Hoi, Rong Jin
Super-Linear Convergence of Dual Augmented Lagrangian Algorithm for Sparsity Regularized Estimation
Ryota Tomioka, Taiji Suzuki, Masashi Sugiyama
Learning from Partial Labels
Timothee Cour, Ben Sapp, Ben Taskar
Computationally Efficient Convolved Multiple Output Gaussian Processes
Mauricio A. Álvarez, Neil D. Lawrence
Learning a Robust Relevance Model for Search Using Kernel Methods
Wei Wu, Jun Xu, Hang Li et al.
Introduction to the Special Topic on Grammar Induction, Representation of Language and Language Learning
Dorota Głowacka, John Shawe-Taylor, Alex Clark et al.
Clustering Algorithms for Chains
Antti Ukkonen
Faster Algorithms for Max-Product Message-Passing
Julian J. McAuley, Tibério S. Caetano
A Family of Simple Non-Parametric Kernel Learning Algorithms
Jinfeng Zhuang, Ivor W. Tsang, Steven C.H. Hoi
Better Algorithms for Benign Bandits
Elad Hazan, Satyen Kale
Locally Defined Principal Curves and Surfaces
Umut Ozertem, Deniz Erdogmus
DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model
Shohei Shimizu, Takanori Inazumi, Yasuhiro Sogawa et al.
The Indian Buffet Process: An Introduction and Review
Thomas L. Griffiths, Zoubin Ghahramani
Laplacian Support Vector Machines Trained in the Primal
Stefano Melacci, Mikhail Belkin
Anechoic Blind Source Separation Using Wigner Marginals
Lars Omlor, Martin A. Giese
Differentially Private Empirical Risk Minimization
Kamalika Chaudhuri, Claire Monteleoni, Anand D. Sarwate
Two Distributed-State Models For Generating High-Dimensional Time Series
Graham W. Taylor, Geoffrey E. Hinton, Sam T. Roweis
-Norm Multiple Kernel Learning
Marius Kloft, Ulf Brefeld, Sören Sonnenburg et al.
Forest Density Estimation
Han Liu, Min Xu, Haijie Gu et al.
Sparse Linear Identifiable Multivariate Modeling
Ricardo Henao, Ole Winther
Learning Transformation Models for Ranking and Survival Analysis
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens et al.