Sciweavers

JMLR
2010
146views more  JMLR 2010»
13 years 5 days ago
Nonparametric Tree Graphical Models
We introduce a nonparametric representation for graphical model on trees which expresses marginals as Hilbert space embeddings and conditionals as embedding operators. This formul...
Le Song, Arthur Gretton, Carlos Guestrin
JMLR
2010
139views more  JMLR 2010»
13 years 5 days ago
Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines
Alternating Gibbs sampling is the most common scheme used for sampling from Restricted Boltzmann Machines (RBM), a crucial component in deep architectures such as Deep Belief Netw...
Guillaume Desjardins, Aaron C. Courville, Yoshua B...
JMLR
2010
108views more  JMLR 2010»
13 years 5 days ago
Feature Selection using Multiple Streams
Feature selection for supervised learning can be greatly improved by making use of the fact that features often come in classes. For example, in gene expression data, the genes wh...
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Unga...
JMLR
2010
157views more  JMLR 2010»
13 years 5 days ago
Combining Experiments to Discover Linear Cyclic Models with Latent Variables
We present an algorithm to infer causal relations between a set of measured variables on the basis of experiments on these variables. The algorithm assumes that the causal relatio...
Frederick Eberhardt, Patrik O. Hoyer, Richard Sche...
JMLR
2010
130views more  JMLR 2010»
13 years 5 days ago
A Regularization Approach to Nonlinear Variable Selection
In this paper we consider a regularization approach to variable selection when the regression function depends nonlinearly on a few input variables. The proposed method is based o...
Lorenzo Rosasco, Matteo Santoro, Sofia Mosci, Ales...
JMLR
2010
78views more  JMLR 2010»
13 years 5 days ago
An Alternative Prior Process for Nonparametric Bayesian Clustering
Prior distributions play a crucial role in Bayesian approaches to clustering. Two commonly-used prior distributions are the Dirichlet and Pitman-Yor processes. In this paper, we i...
Hanna M. Wallach, Shane Jensen, Lee Dicker, Kather...
JMLR
2010
82views more  JMLR 2010»
13 years 5 days ago
Negative Results for Active Learning with Convex Losses
We study the problem of active learning with convex loss functions. We prove that even under bounded noise constraints, the minimax rates for proper active learning are often no b...
Steve Hanneke, Liu Yang
JMLR
2010
95views more  JMLR 2010»
13 years 5 days ago
Nonparametric Bayesian Matrix Factorization by Power-EP
Nan Ding, Yuan (Alan) Qi, Rongjing Xiang, Ian Moll...
JMLR
2010
150views more  JMLR 2010»
13 years 5 days ago
Approximate parameter inference in a stochastic reaction-diffusion model
We present an approximate inference approach to parameter estimation in a spatio-temporal stochastic process of the reaction-diffusion type. The continuous space limit of an infer...
Andreas Ruttor, Manfred Opper