causal effect

Enhancing Identification of Causal Effects by Pruning JMLR 2018 Identification and Estimation of Causal Effects from Dependent Data NeurIPS 2018 Intervals of Causal Effects for Learning Causal Graphical Models PGM 2018 Simulating Action Dynamics with Neural Process Networks ICLR 2018 A Causal Framework for Discovering and Removing Direct and Indirect Discrimination IJCAI 2017 Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness AISTATS 2017 Simplifying Probabilistic Expressions in Causal Inference JMLR 2017 Transfer Learning in Multi-Armed Bandits: A Causal Approach IJCAI 2017 Causal Inference through a Witness Protection Program JMLR 2016 Control Function Instrumental Variable Estimation of Nonlinear Causal Effect Models JMLR 2016 On Searching for Generalized Instrumental Variables AISTATS 2016 Counting and Exploring Sizes of Markov Equivalence Classes of Directed Acyclic Graphs JMLR 2015 Causal Inference through a Witness Protection Program NeurIPS 2014 Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data NeurIPS 2014 Transportability from Multiple Environments with Limited Experiments: Completeness Results NeurIPS 2014 Data-driven covariate selection for nonparametric estimation of causal effects AISTATS 2013 Meta-Transportability of Causal Effects: A Formal Approach AISTATS 2013