Causal Inference

Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity EMNLP 2019 Modeling Document-level Causal Structures for Event Causal Relation Identification NAACL 2019 Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations NeurIPS 2019 Multiclass Performance Metric Elicitation NeurIPS 2019 Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base EMNLP 2019 Near-Optimal Reinforcement Learning in Dynamic Treatment Regimes NeurIPS 2019 Neural Decipherment via Minimum-Cost Flow: From Ugaritic to Linear B ACL 2019 Neural Network Attributions: A Causal Perspective ICML 2019 Neural Temporality Adaptation for Document Classification: Diachronic Word Embeddings and Domain Adaptation Models ACL 2019 Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation NeurIPS 2019 Nonzero-sum Adversarial Hypothesis Testing Games NeurIPS 2019 Object Conditioning for Causal Inference UAI 2019 On Multi-Cause Approaches to Causal Inference with Unobserved Counfounding: Two Cautionary Failure Cases and A Promising Alternative AISTATS 2019 On Open-Universe Causal Reasoning UAI 2019 On Testing for Biases in Peer Review NeurIPS 2019 On the Estimation of Treatment Effect with Text Covariates IJCAI 2019 Orthogonal Random Forest for Causal Inference ICML 2019 Path-Specific Counterfactual Fairness AAAI 2019 PC-Fairness: A Unified Framework for Measuring Causality-based Fairness NeurIPS 2019 Perceiving the arrow of time in autoregressive motion NeurIPS 2019 Phonetic Detail Encoding in Explaining the Size of Speech Planning Window Interspeech 2019 Policy Evaluation with Latent Confounders via Optimal Balance NeurIPS 2019 Prediction of Disease Progression in Multiple Sclerosis Patients using Deep Learning Analysis of MRI Data MIDL 2019 Preferences Implicit in the State of the World ICLR 2019 Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport AISTATS 2019