conftrace_

graphical model

864 papers

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Also known as

GM

Co-occurring keywords

structure learning (341) causal inference (1630) bayesian network (378) causal discovery (460) probabilistic inference (312) belief propagation (177) approximate inference (253) probabilistic modeling (852) bayesian inference (1907) markov random field (303)

Papers

Solving Decision Problems with Limited Information NIPS 2011
Multi-Label Output Codes using Canonical Correlation Analysis AISTATS 2011
Empirical Risk Minimization of Graphical Model Parameters Given Approximate Inference, Decoding, and Model Structure AISTATS 2011
t-divergence Based Approximate Inference NIPS 2011
Asymptotic Theory for Linear-Chain Conditional Random Fields AISTATS 2011
On Time Varying Undirected Graphs AISTATS 2011
Hidden-Unit Conditional Random Fields AISTATS 2011
Bagged Structure Learning of Bayesian Network AISTATS 2011
Discussion of “Learning Scale Free Networks by Reweighted $\ell_1$ regularization” AISTATS 2011
Learning equivalence classes of acyclic models with latent and selection variables from multiple datasets with overlapping variables AISTATS 2011
Efficient inference in matrix-variate Gaussian models with \iid observation noise NIPS 2011
Discussion of “Learning Equivalence Classes of Acyclic Models with Latent and Selection Variables from Multiple Datasets with Overlapping Variables” AISTATS 2011
Mixed Cumulative Distribution Networks AISTATS 2011
Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates JMLR 2011
Bayesian Online Learning for Multi-label and Multi-variate Performance Measures AISTATS 2010
Inference and Learning in Networks of Queues AISTATS 2010
FastInf: An Efficient Approximate Inference Library JMLR 2010
Implicit Differentiation by Perturbation NIPS 2010
Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models NIPS 2010
Learning concept graphs from text with stick-breaking priors NIPS 2010
Graphical Gaussian modelling of multivariate time series with latent variables AISTATS 2010
Brain covariance selection: better individual functional connectivity models using population prior NIPS 2010
Efficient Relational Learning with Hidden Variable Detection NIPS 2010
Variational Inference over Combinatorial Spaces NIPS 2010
Learning Bayesian Network Structure using LP Relaxations AISTATS 2010