Causal Inference

Estimating Multi-cause Treatment Effects via Single-cause Perturbation NeurIPS 2021 Estimating the Long-Term Effects of Novel Treatments NeurIPS 2021 Estimating treatment effects with observed confounders and mediators UAI 2021 Estimation and Optimization of Composite Outcomes JMLR 2021 Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLP ACL 2021 Event Time Extraction and Propagation via Graph Attention Networks NAACL 2021 Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis NAACL 2021 ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning ACL 2021 Explaining the Efficacy of Counterfactually Augmented Data ICLR 2021 Exploiting Equality Constraints in Causal Inference AISTATS 2021 Exploiting structured data for learning contagious diseases under incomplete testing ICML 2021 Exploratory Machine Learning with Unknown Unknowns AAAI 2021 Exploring Decomposition for Table-based Fact Verification EMNLP 2021 Extendability of causal graphical models: Algorithms and computational complexity UAI 2021 Extraction of Common-Sense Relations from Procedural Task Instructions using BERT EACL 2021 Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation EMNLP 2021 Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance NeurIPS 2021 Flow-based Attribution in Graphical Models: A Recursive Shapley Approach ICML 2021 Forecasting Irreversible Disease via Progression Learning CVPR 2021 From Discourse to Narrative: Knowledge Projection for Event Relation Extraction ACL 2021 From Robot Learning To Robot Understanding: Leveraging Causal Graphical Models For Robotics CoRL 2021 GarmentNets: Category-Level Pose Estimation for Garments via Canonical Space Shape Completion ICCV 2021 GaussianPath:A Bayesian Multi-Hop Reasoning Framework for Knowledge Graph Reasoning AAAI 2021 Generating Hypothetical Events for Abductive Inference ACL 2021 Generative Causal Explanations for Graph Neural Networks ICML 2021