Causal Inference

Consistent Estimation given Missing Data PGM 2018 Detecting non-causal artifacts in multivariate linear regression models ICML 2018 Direct Estimation of Differences in Causal Graphs NeurIPS 2018 Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions NeurIPS 2018 Identification and Estimation of Causal Effects from Dependent Data NeurIPS 2018 Inducing Temporal Relations from Time Anchor Annotation NAACL 2018 Intersection-Validation: A Method for Evaluating Structure Learning without Ground Truth AISTATS 2018 Intervals of Causal Effects for Learning Causal Graphical Models PGM 2018 Invariant Models for Causal Transfer Learning JMLR 2018 Learning linear structural equation models in polynomial time and sample complexity AISTATS 2018 Markov Blanket and Markov Boundary of Multiple Variables JMLR 2018 Minimal I-MAP MCMC for Scalable Structure Discovery in Causal DAG Models ICML 2018 Multi-domain Causal Structure Learning in Linear Systems NeurIPS 2018 On the Conditional Logic of Simulation Models IJCAI 2018 Preposition Sense Disambiguation and Representation EMNLP 2018 Reasoning about Actions and State Changes by Injecting Commonsense Knowledge EMNLP 2018 Removing Hidden Confounding by Experimental Grounding NeurIPS 2018 Robust Synthetic Control JMLR 2018 Scalable Probabilistic Causal Structure Discovery IJCAI 2018 Structural Causal Bandits: Where to Intervene? NeurIPS 2018 Structure Learning Under Missing Data PGM 2018 What Action Causes This? Towards Naive Physical Action-Effect Prediction ACL 2018 A Causal Framework for Discovering and Removing Direct and Indirect Discrimination IJCAI 2017 A Framework for Optimal Matching for Causal Inference AISTATS 2017 Belief Change in a Preferential Non-monotonic Framework IJCAI 2017