Causal Inference

Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach NeurIPS 2020 Reasoning Over Semantic-Level Graph for Fact Checking ACL 2020 Reasoning Requirements for Indirect Speech Act Interpretation COLING 2020 Reconsidering Generative Objectives For Counterfactual Reasoning NeurIPS 2020 Recovering Causal Structures from Low-Order Conditional Independencies AAAI 2020 Regret Analysis of Bandit Problems with Causal Background Knowledge UAI 2020 Representation, Learning and Reasoning on Spatial Language for Downstream NLP Tasks EMNLP 2020 Robust causal inference under covariate shift via worst-case subpopulation treatment effects COLT 2020 Robustness to Spurious Correlations via Human Annotations ICML 2020 Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering EMNLP 2020 SCOUT: Self-Aware Discriminant Counterfactual Explanations CVPR 2020 SemEval-2020 Task 5: Counterfactual Recognition SemEval 2020 Semi-supervised learning, causality, and the conditional cluster assumption UAI 2020 Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding NeurIPS 2020 Sequential change-point detection in high-dimensional Gaussian graphical models JMLR 2020 Sparse and Low-bias Estimation of High Dimensional Vector Autoregressive Models L4DC 2020 Spatio-Temporal Change Detection Using Granger Sequence Pattern IJCAI 2020 Spike-based causal inference for weight alignment ICLR 2020 State-only Imitation with Transition Dynamics Mismatch ICLR 2020 State Variable Effects in Graphical Event Models IJCAI 2020 Statistically Efficient Greedy Equivalence Search UAI 2020 STReSSD: Sim-To-Real from Sound for Stochastic Dynamics CoRL 2020 Structural Causal Models Are (Solvable by) Credal Networks PGM 2020 Structure Learning for Cyclic Linear Causal Models UAI 2020 Symmetry and Group in Attribute-Object Compositions CVPR 2020