Causal Inference

A* Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables NeurIPS 2013 A simple criterion for controlling selection bias AISTATS 2013 Causal Inference on Time Series using Restricted Structural Equation Models NeurIPS 2013 Counterfactual Reasoning and Learning Systems: The Example of Computational Advertising JMLR 2013 Estimation of Causal Peer Influence Effects ICML 2013 Event Detection in Complex Scenes Using Interval Temporal Constraints ICCV 2013 Experiment Selection for Causal Discovery JMLR 2013 Graphical Models for Inference with Missing Data NeurIPS 2013 Learning Linear Bayesian Networks with Latent Variables ICML 2013 Meta-Transportability of Causal Effects: A Formal Approach AISTATS 2013 SADA: A General Framework to Support Robust Causation Discovery ICML 2013 Causal discovery with scale-mixture model for spatiotemporal variance dependencies NeurIPS 2012 Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs JMLR 2012 Learning Linear Cyclic Causal Models with Latent Variables JMLR 2012 Learning Networks of Heterogeneous Influence NeurIPS 2012 A rational model of causal inference with continuous causes NeurIPS 2011 Inductive reasoning about chimeric creatures NeurIPS 2011 Learning equivalence classes of acyclic models with latent and selection variables from multiple datasets with overlapping variables AISTATS 2011 On Causal Discovery with Cyclic Additive Noise Models NeurIPS 2011 Solving Decision Problems with Limited Information NeurIPS 2011 Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference NeurIPS 2010 Causal discovery in multiple models from different experiments NeurIPS 2010 Introduction to Causal Inference JMLR 2010 Probabilistic Belief Revision with Structural Constraints NeurIPS 2010 Probabilistic latent variable models for distinguishing between cause and effect NeurIPS 2010