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

Complexity of Bethe Approximation AISTATS 2012
Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation NIPS 2012
Globally Optimizing Graph Partitioning Problems Using Message Passing AISTATS 2012
Topology Constraints in Graphical Models NIPS 2012
The Bethe Partition Function of Log-supermodular Graphical Models NIPS 2012
Part & Clamp: Efficient Structured Output Learning AISTATS 2012
Lifted Linear Programming AISTATS 2012
Graphical Models via Generalized Linear Models NIPS 2012
Joint Estimation of Structured Sparsity and Output Structure in Multiple-Output Regression via Inverse-Covariance Regularization AISTATS 2012
Learning Networks of Heterogeneous Influence NIPS 2012
Smooth-projected Neighborhood Pursuit for High-dimensional Nonparanormal Graph Estimation NIPS 2012
Convergence Rate Analysis of MAP Coordinate Minimization Algorithms NIPS 2012
Approximate Inference by Intersecting Semidefinite Bound and Local Polytope AISTATS 2012
Adaptive MCMC with Bayesian Optimization AISTATS 2012
Statistical test for consistent estimation of causal effects in linear non-Gaussian models AISTATS 2012
Copula Network Classifiers (CNCs) AISTATS 2012
Learning Mixtures of Tree Graphical Models NIPS 2012
Structured Output Learning with High Order Loss Functions AISTATS 2012
Nonparanormal Belief Propagation (NPNBP) NIPS 2012
Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression NIPS 2012
Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses NIPS 2012
Inference on networks of mixtures for robust robot mapping RSS 2012
A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation NIPS 2012
MAP Inference in Chains using Column Generation NIPS 2012
Learning as MAP Inference in Discrete Graphical Models NIPS 2012