causal discovery

Improving the Reliability of Causal Discovery from Small Data Sets Using Argumentation JMLR 2009 Nonlinear directed acyclic structure learning with weakly additive noise models NeurIPS 2009 Active Learning of Causal Networks with Intervention Experiments and Optimal Designs JMLR 2008 Finding Latent Causes in Causal Networks: an Efficient Approach Based on Markov Blankets NeurIPS 2008 Finding Optimal Bayesian Network Given a Super-Structure JMLR 2008 Integrating Locally Learned Causal Structures with Overlapping Variables NeurIPS 2008 Minimal Nonlinear Distortion Principle for Nonlinear Independent Component Analysis JMLR 2008 Nonlinear causal discovery with additive noise models NeurIPS 2008 Search for Additive Nonlinear Time Series Causal Models JMLR 2008 Estimating High-Dimensional Directed Acyclic Graphs with the PC-Algorithm JMLR 2007 A Graphical Representation of Equivalence Classes of AMP Chain Graphs JMLR 2006 A Linear Non-Gaussian Acyclic Model for Causal Discovery JMLR 2006 Inferring Network Structure from Co-Occurrences NeurIPS 2006 Learning Structural Equation Models for fMRI NeurIPS 2006 Learning the Structure of Linear Latent Variable Models JMLR 2006 Optimal Structure Identification With Greedy Search JMLR 2002