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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

Convex Structure Learning in Log-Linear Models: Beyond Pairwise Potentials AISTATS 2010
Learning Bayesian Network Structure using LP Relaxations AISTATS 2010
Learning Efficient Markov Networks NIPS 2010
Sparse Inverse Covariance Selection via Alternating Linearization Methods NIPS 2010
Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure JMLR 2010
Continuous Time Bayesian Network Reasoning and Learning Engine JMLR 2010
Bayesian Sparse Factor Models and DAGs Inference and Comparison NIPS 2009
Nonlinear directed acyclic structure learning with weakly additive noise models NIPS 2009
Python Environment for Bayesian Learning: Inferring the Structure of Bayesian Networks from Knowledge and Data JMLR 2009
Estimation of Sparse Binary Pairwise Markov Networks using Pseudo-likelihoods JMLR 2009
Which graphical models are difficult to learn? NIPS 2009
Sparse and Locally Constant Gaussian Graphical Models NIPS 2009
Learning models of object structure NIPS 2009
Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models NIPS 2009
Controlling the False Discovery Rate of the Association/Causality Structure Learned with the PC Algorithm JMLR 2009
Bayesian Network Structure Learning by Recursive Autonomy Identification JMLR 2009
Non-stationary dynamic Bayesian networks NIPS 2008
Learning Bounded Treewidth Bayesian Networks NIPS 2008
Integrating Locally Learned Causal Structures with Overlapping Variables NIPS 2008
Adaptive Body Scheme Models for Robust Robotic Manipulation RSS 2008
Finding Optimal Bayesian Network Given a Super-Structure JMLR 2008
Finding Latent Causes in Causal Networks: an Efficient Approach Based on Markov Blankets NIPS 2008
Learning Bounded Treewidth Bayesian Networks JMLR 2008
Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of \boldmath$\ell_1$-regularized MLE NIPS 2008
Bayesian Network Score Approximation using a Metagraph Kernel NIPS 2008