Causal Inference

Cormorant: Covariant Molecular Neural Networks NeurIPS 2019 Counterfactual Fairness: Unidentification, Bound and Algorithm IJCAI 2019 Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models ICML 2019 Counterfactual Randomization: Rescuing Experimental Studies from Obscured Confounding AAAI 2019 Counterfactual Reasoning for Fair Clinical Risk Prediction MLHC 2019 Counterfactual Reasoning in Observational Studies AAAI 2019 CounterFactual Regression with Importance Sampling Weights IJCAI 2019 Counterfactual Story Reasoning and Generation EMNLP 2019 Counting and Sampling from Markov Equivalent DAGs Using Clique Trees AAAI 2019 Debiased Bayesian inference for average treatment effects NeurIPS 2019 Deep Generalized Method of Moments for Instrumental Variable Analysis NeurIPS 2019 DEFSI: Deep Learning Based Epidemic Forecasting with Synthetic Information AAAI 2019 Designing Preferences, Beliefs, and Identities for Artificial Intelligence AAAI 2019 Detecting Causal Language Use in Science Findings EMNLP 2019 Discrimination in Online Markets: Effects of Social Bias on Learning from Reviews and Policy Design NeurIPS 2019 Do Nuclear Submarines Have Nuclear Captains? A Challenge Dataset for Commonsense Reasoning over Adjectives and Objects EMNLP 2019 Early Rumour Detection NAACL 2019 Efficient Identification in Linear Structural Causal Models with Instrumental Cutsets NeurIPS 2019 Efficient Planning Under Uncertainty with Incremental Refinement UAI 2019 Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models NAACL 2019 Escaping Plato's Cave: 3D Shape From Adversarial Rendering ICCV 2019 Estimating Causal Effects of Tone in Online Debates IJCAI 2019 Estimating the Causal Effect from Partially Observed Time Series AAAI 2019 Event Causality Recognition Exploiting Multiple Annotators’ Judgments and Background Knowledge EMNLP 2019 Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text EMNLP 2019