Causal Inference

Perceiving the arrow of time in autoregressive motion NeurIPS 2019 Reasoning Over Paragraph Effects in Situations EMNLP 2019 Recursively Learning Causal Structures Using Regression-Based Conditional Independence Test AAAI 2019 Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise JMLR 2019 Selecting causal brain features with a single conditional independence test per feature NeurIPS 2019 Semi-Generative Modelling: Covariate-Shift Adaptation with Cause and Effect Features AISTATS 2019 Sensitivity Analysis of Linear Structural Causal Models ICML 2019 Size of Interventional Markov Equivalence Classes in random DAG models AISTATS 2019 The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data NeurIPS 2019 The Reduced PC-Algorithm: Improved Causal Structure Learning in Large Random Networks JMLR 2019 Towards Generalizable Neuro-Symbolic Systems for Commonsense Question Answering EMNLP 2019 Weakly Supervised Multilingual Causality Extraction from Wikipedia EMNLP 2019 A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects CVPR 2018 Actual Causality in a Logical Setting IJCAI 2018 A Graphical Criterion for Effect Identification in Equivalence Classes of Causal Diagrams IJCAI 2018 Bridging Knowledge Gaps in Neural Entailment via Symbolic Models EMNLP 2018 Causal Bandits with Propagating Inference ICML 2018 Causal Discovery from Discrete Data using Hidden Compact Representation NeurIPS 2018 Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models NeurIPS 2018 Causal Inference via Kernel Deviance Measures NeurIPS 2018 Causal Structure Learning via Temporal Markov Networks PGM 2018 Cause-Effect Inference by Comparing Regression Errors AISTATS 2018 Challenges of Using Text Classifiers for Causal Inference EMNLP 2018 Computationally and statistically efficient learning of causal Bayes nets using path queries NeurIPS 2018 Confounding-Robust Policy Improvement NeurIPS 2018