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

Minimizing Sparse High-Order Energies by Submodular Vertex-Cover NIPS 2012
Transelliptical Graphical Models NIPS 2012
Newton-Like Methods for Sparse Inverse Covariance Estimation NIPS 2012
Exponential Concentration for Mutual Information Estimation with Application to Forests NIPS 2012
Variational Inference for Crowdsourcing NIPS 2012
Majorization for CRFs and Latent Likelihoods NIPS 2012
Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs JMLR 2012
Learning the Dependency Structure of Latent Factors NIPS 2012
Bayesian Pedigree Analysis using Measure Factorization NIPS 2012
Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization NIPS 2012
On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks NIPS 2012
A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation NIPS 2012
Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs NIPS 2012
Online Sum-Product Computation Over Trees NIPS 2012
Learning the Architecture of Sum-Product Networks Using Clustering on Variables NIPS 2012
On Lifting the Gibbs Sampling Algorithm NIPS 2012
Random function priors for exchangeable arrays with applications to graphs and relational data NIPS 2012
Density Propagation and Improved Bounds on the Partition Function NIPS 2012
Controlling Selection Bias in Causal Inference AISTATS 2012
Causality with Gates AISTATS 2012
Lifted Variable Elimination with Arbitrary Constraints AISTATS 2012
Lightning-speed Structure Learning of Nonlinear Continuous Networks AISTATS 2012
Learning Scale Free Networks by Reweighted $\ell_1$ regularization AISTATS 2011
An Application of Tree-Structured Expectation Propagation for Channel Decoding NIPS 2011
High-dimensional Covariance Estimation Based On Gaussian Graphical Models JMLR 2011