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structure learning

341 papers

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SL

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graphical model (863) bayesian network (378) causal discovery (459) directed acyclic graph (242) causal inference (1619) probabilistic modeling (851) probabilistic graphical model (226) gaussian graphical model (106) bayesian inference (1904) markov chain monte carlo (724)

Papers

Tracking Time-varying Graphical Structure NIPS 2013
Unsupervised Structure Learning of Stochastic And-Or Grammars NIPS 2013
Event Detection in Complex Scenes Using Interval Temporal Constraints ICCV 2013
Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters AISTATS 2012
A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation NIPS 2012
Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs JMLR 2012
Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses NIPS 2012
Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs NIPS 2012
High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods AISTATS 2012
Variable Selection for Gaussian Graphical Models AISTATS 2012
Lightning-speed Structure Learning of Nonlinear Continuous Networks AISTATS 2012
On Learning Discrete Graphical Models using Greedy Methods NIPS 2011
On Learning Discrete Graphical Models using Group-Sparse Regularization AISTATS 2011
Learning equivalence classes of acyclic models with latent and selection variables from multiple datasets with overlapping variables AISTATS 2011
Learning Higher-Order Graph Structure with Features by Structure Penalty NIPS 2011
Efficient Structure Learning of Bayesian Networks using Constraints JMLR 2011
Discussion of “Learning Equivalence Classes of Acyclic Models with Latent and Selection Variables from Multiple Datasets with Overlapping Variables” AISTATS 2011
Parallel Algorithm for Learning Optimal Bayesian Network Structure JMLR 2011
Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates JMLR 2011
Discriminative Learning of Bayesian Networks via Factorized Conditional Log-Likelihood JMLR 2011
Spectral Methods for Learning Multivariate Latent Tree Structure NIPS 2011
Kernel Embeddings of Latent Tree Graphical Models NIPS 2011
Structure Learning for Optimization NIPS 2011
Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers JMLR 2010
Learning Non-Stationary Dynamic Bayesian Networks JMLR 2010