conftrace_

probabilistic graphical model

226 papers

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Also known as

PGM

Co-occurring keywords

graphical model (864) bayesian network (378) bayesian inference (1907) variational inference (2069) approximate inference (253) probabilistic modeling (852) structure learning (341) markov random field (303) belief propagation (177) probabilistic inference (312)

Papers

An Unsupervised Decontamination Procedure For Improving The Reliability Of Human Judgments NIPS 2011
Faithfulness in Chain Graphs: The Gaussian Case AISTATS 2011
Inference and Learning in Networks of Queues AISTATS 2010
Copula Bayesian Networks NIPS 2010
Approximate Inference by Compilation to Arithmetic Circuits NIPS 2010
Exact inference and learning for cumulative distribution functions on loopy graphs NIPS 2010
Dynamic Infinite Relational Model for Time-varying Relational Data Analysis NIPS 2010
Layered image motion with explicit occlusions, temporal consistency, and depth ordering NIPS 2010
Efficient Relational Learning with Hidden Variable Detection NIPS 2010
Lifted Inference Seen from the Other Side : The Tractable Features NIPS 2010
Focused Belief Propagation for Query-Specific Inference AISTATS 2010
Why are DBNs sparse? AISTATS 2010
Conditional Neural Fields NIPS 2009
A Stochastic approximation method for inference in probabilistic graphical models NIPS 2009
Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora NIPS 2009
Approximating MAP by Compensating for Structural Relaxations NIPS 2009
Sparsistent Learning of Varying-coefficient Models with Structural Changes NIPS 2009
An LP View of the M-best MAP problem NIPS 2009
Gates NIPS 2008
Infinite State Bayes-Nets for Structured Domains NIPS 2007
Efficient Principled Learning of Thin Junction Trees NIPS 2007
Spatial Latent Dirichlet Allocation NIPS 2007
A Probabilistic Algorithm Integrating Source Localization and Noise Suppression of MEG and EEG data NIPS 2006
Training Conditional Random Fields for Maximum Labelwise Accuracy NIPS 2006
Multi-dynamic Bayesian Networks NIPS 2006