causal inference

Towards a Learning Theory of Cause-Effect Inference ICML 2015 Understanding Tools: Task-Oriented Object Modeling, Learning and Recognition CVPR 2015 Bayesian Estimation of Causal Direction in Acyclic Structural Equation Models with Individual-specific Confounder Variables and Non-Gaussian Distributions JMLR 2014 Causal Inference through a Witness Protection Program NeurIPS 2014 Causal Strategic Inference in Networked Microfinance Economies NeurIPS 2014 Consistency of Causal Inference under the Additive Noise Model ICML 2014 Feedback Detection for Live Predictors NeurIPS 2014 Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data NeurIPS 2014 On Estimating Causal Effects based on Supplemental Variables AISTATS 2014 Randomized Experimental Design for Causal Graph Discovery NeurIPS 2014 Transportability from Multiple Environments with Limited Experiments: Completeness Results NeurIPS 2014 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 Data-driven covariate selection for nonparametric estimation of causal effects AISTATS 2013 Estimation of Causal Peer Influence Effects ICML 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 One-shot learning by inverting a compositional causal process NeurIPS 2013 Pairwise Likelihood Ratios for Estimation of Non-Gaussian Structural Equation Models JMLR 2013 SADA: A General Framework to Support Robust Causation Discovery ICML 2013 Statistical Tests for Contagion in Observational Social Network Studies AISTATS 2013 Transportability from Multiple Environments with Limited Experiments NeurIPS 2013 Causal Bounds and Observable Constraints for Non-deterministic Models JMLR 2012