Causal Inference

On the Assumptions of Synthetic Control Methods AISTATS 2022 On the Convergence of Continuous Constrained Optimization for Structure Learning AISTATS 2022 On the definition and computation of causal treewidth UAI 2022 On the Equivalence of Causal Models: A Category-Theoretic Approach CLeaR 2022 On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges IJCAI 2022 Optimal Rates for Regularized Conditional Mean Embedding Learning NeurIPS 2022 Optimal Transport for Causal Discovery ICLR 2022 Ordinal causal discovery UAI 2022 OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks CVPR 2022 Partial Counterfactual Identification from Observational and Experimental Data ICML 2022 Path-Specific Objectives for Safer Agent Incentives AAAI 2022 Process Independence Testing in Proximal Graphical Event Models CLeaR 2022 Reasoning about Causal Models with Infinitely Many Variables AAAI 2022 ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks EMNLP 2022 Reinforcement Learning of Causal Variables Using Mediation Analysis AAAI 2022 Relational Causal Models with Cycles: Representation and Reasoning CLeaR 2022 Relevant CommonSense Subgraphs for “What if...” Procedural Reasoning ACL 2022 Residual Similarity Based Conditional Independence Test and Its Application in Causal Discovery AAAI 2022 Retrieval Augmentation for Commonsense Reasoning: A Unified Approach EMNLP 2022 Revisiting the general identifiability problem UAI 2022 Robust Direct Learning for Causal Data Fusion ACML 2022 Robust Hate Speech Detection via Mitigating Spurious Correlations AACL 2022 ROCK: Causal Inference Principles for Reasoning about Commonsense Causality ICML 2022 Root Cause Analysis of Failures in Microservices through Causal Discovery NeurIPS 2022 Sample Constrained Treatment Effect Estimation NeurIPS 2022