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causal discovery

459 papers

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CD

Co-occurring keywords

causal inference (1619) graphical model (863) directed acyclic graph (242) causal graph (137) structure learning (341) causal structure (87) structural equation model (77) latent variable (541) causal structure learning (63) time series (434)

Papers

Causal discovery with scale-mixture model for spatiotemporal variance dependencies NIPS 2012
Learning Linear Cyclic Causal Models with Latent Variables JMLR 2012
Towards Integrative Causal Analysis of Heterogeneous Data Sets and Studies JMLR 2012
Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs JMLR 2012
Learning Latent Variable Models by Pairwise Cluster Comparison ACML 2012
Sparse Linear Identifiable Multivariate Modeling JMLR 2011
DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model JMLR 2011
On Causal Discovery with Cyclic Additive Noise Models NIPS 2011
Discussion of “Learning Equivalence Classes of Acyclic Models with Latent and Selection Variables from Multiple Datasets with Overlapping Variables” AISTATS 2011
Pairwise Measures of Causal Direction in Linear Non-Gaussian Acyclic Models ACML 2010
Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part I: Algorithms and Empirical Evaluation JMLR 2010
Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part II: Analysis and Extensions JMLR 2010
Probabilistic latent variable models for distinguishing between cause and effect NIPS 2010
Causal discovery in multiple models from different experiments NIPS 2010
Combining Experiments to Discover Linear Cyclic Models with Latent Variables AISTATS 2010
Identifying Cause and Effect on Discrete Data using Additive Noise Models AISTATS 2010
Learning Causal Structure from Overlapping Variable Sets AISTATS 2010
Controlling the False Discovery Rate of the Association/Causality Structure Learned with the PC Algorithm JMLR 2009
Nonlinear directed acyclic structure learning with weakly additive noise models NIPS 2009
Improving the Reliability of Causal Discovery from Small Data Sets Using Argumentation JMLR 2009
Integrating Locally Learned Causal Structures with Overlapping Variables NIPS 2008
Search for Additive Nonlinear Time Series Causal Models JMLR 2008
Finding Latent Causes in Causal Networks: an Efficient Approach Based on Markov Blankets NIPS 2008
Minimal Nonlinear Distortion Principle for Nonlinear Independent Component Analysis JMLR 2008
Finding Optimal Bayesian Network Given a Super-Structure JMLR 2008