Causal Inference

Optimal and Non-Discriminative Rehabilitation Program Design for Opioid Addiction Among Homeless Youth IJCAI 2020 Ordering-Based Causal Structure Learning in the Presence of Latent Variables AISTATS 2020 Permutation-Based Causal Structure Learning with Unknown Intervention Targets UAI 2020 Rˆ3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge ACL 2020 Recovering Causal Structures from Low-Order Conditional Independencies AAAI 2020 Regret Analysis of Bandit Problems with Causal Background Knowledge UAI 2020 Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding NeurIPS 2020 Social Commonsense Reasoning with Multi-Head Knowledge Attention EMNLP 2020 Spatio-Temporal Change Detection Using Granger Sequence Pattern IJCAI 2020 Statistically Efficient Greedy Equivalence Search UAI 2020 Strategic Classification is Causal Modeling in Disguise ICML 2020 Structural Causal Models Are (Solvable by) Credal Networks PGM 2020 Structure Learning for Cyclic Linear Causal Models UAI 2020 Switching Regression Models and Causal Inference in the Presence of Discrete Latent Variables JMLR 2020 Table Fact Verification with Structure-Aware Transformer EMNLP 2020 Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates ACL 2020 Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders ICML 2020 Towards Interpretable Reasoning over Paragraph Effects in Situation EMNLP 2020 Towards practical differentially private causal graph discovery NeurIPS 2020 Towards Scalable Bayesian Learning of Causal DAGs NeurIPS 2020 Tuning Causal Discovery Algorithms PGM 2020 Unbiased Scene Graph Generation From Biased Training CVPR 2020 ABCD-Strategy: Budgeted Experimental Design for Targeted Causal Structure Discovery AISTATS 2019 Abstracting Causal Models AAAI 2019 Adaptive Planning with Evidence Based Prediction for Improved Fluency in Routine Human-Robot Collaborative Tasks AAAI 2019