Causal Inference

Bayesian Decision Process for Budget-efficient Crowdsourced Clustering IJCAI 2020 Bayesian network structure learning with causal effects in the presence of latent variables PGM 2020 Better Set Representations For Relational Reasoning NeurIPS 2020 Biomedical Event Extraction with Hierarchical Knowledge Graphs EMNLP 2020 Blameworthiness in Security Games AAAI 2020 Bridging Causality and Learning: How Do They Benefit from Each Other? IJCAI 2020 Bridging Cross-Tasks Gap for Cognitive Assessment via Fine-Grained Domain Adaptation IJCAI 2020 Building Causal Interaction Models by Recursive Unfolding PGM 2020 BUT-FIT at SemEval-2020 Task 5: Automatic Detection of Counterfactual Statements with Deep Pre-trained Language Representation Models SemEval 2020 Can Graph Neural Networks Count Substructures? NeurIPS 2020 CASIE: Extracting Cybersecurity Event Information from Text AAAI 2020 Causal analysis of Covid-19 Spread in Germany NeurIPS 2020 Causal Bayesian Optimization AISTATS 2020 Causal Discovery from Multiple Data Sets with Non-Identical Variable Sets AAAI 2020 Causal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning NeurIPS 2020 Causal Discovery in Physical Systems from Videos NeurIPS 2020 Causal Discovery with Reinforcement Learning ICLR 2020 Causal Effect Estimation and Optimal Dose Suggestions in Mobile Health ICML 2020 Causal Effect Identifiability under Partial-Observability ICML 2020 Causal Feature Learning for Utility-Maximizing Agents PGM 2020 Causal Imitation Learning With Unobserved Confounders NeurIPS 2020 Causal inference in degenerate systems: An impossibility result AISTATS 2020 Causal Intervention for Weakly-Supervised Semantic Segmentation NeurIPS 2020 Causally Denoise Word Embeddings Using Half-Sibling Regression AAAI 2020 Causal Modeling for Fairness In Dynamical Systems ICML 2020