Causal Inference

The Label Complexity of Active Learning from Observational Data NeurIPS 2019 The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records MLHC 2019 Theory of Minds: Understanding Behavior in Groups through Inverse Planning AAAI 2019 The Reduced PC-Algorithm: Improved Causal Structure Learning in Large Random Networks JMLR 2019 The Sensitivity of Counterfactual Fairness to Unmeasured Confounding UAI 2019 Three-quarter Sibling Regression for Denoising Observational Data IJCAI 2019 TOI-CNN: a Solution of Information Extraction on Chinese Insurance Policy NAACL 2019 Top-Down Neural Model For Formulae ICLR 2019 Towards Robust Relational Causal Discovery UAI 2019 Transfer Learning for Causal Sentence Detection ACL 2019 Triad Constraints for Learning Causal Structure of Latent Variables NeurIPS 2019 Understanding Persuasion Cascades in Online Product Rating Systems AAAI 2019 Unit Selection Based on Counterfactual Logic IJCAI 2019 Unsupervised Deep Structured Semantic Models for Commonsense Reasoning NAACL 2019 Unsupervised Discovery of Parts, Structure, and Dynamics ICLR 2019 Using Domain Knowledge to Overcome Latent Variables in Causal Inference from Time Series MLHC 2019 Using Embeddings to Correct for Unobserved Confounding in Networks NeurIPS 2019 Validating Causal Inference Models via Influence Functions ICML 2019 Variance Reduction in Bipartite Experiments through Correlation Clustering NeurIPS 2019 Video Magnification in the Wild Using Fractional Anisotropy in Temporal Distribution CVPR 2019 Visual Concept-Metaconcept Learning NeurIPS 2019 What Has Been Said? Identifying the Change Formula in a Belief Revision Scenario IJCAI 2019 When Do Words Matter? Understanding the Impact of Lexical Choice on Audience Perception Using Individual Treatment Effect Estimation AAAI 2019 Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search ICLR 2019 A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks PGM 2018