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Causal Inference

636 papers

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Papers

Off-Policy Evaluation for Action-Dependent Non-stationary Environments NeurIPS 2022 Off-Policy Evaluation with Deficient Support Using Side Information NeurIPS 2022 On Causally Disentangled Representations AAAI 2022 Orthogonal Statistical Learning with Self-Concordant Loss COLT 2022 Out-of-Distribution Generalization With Causal Invariant Transformations CVPR 2022 Path-Specific Objectives for Safer Agent Incentives AAAI 2022 Personalized Public Policy Analysis in Social Sciences Using Causal-Graphical Normalizing Flows AAAI 2022 Reinforcement Learning of Causal Variables Using Mediation Analysis AAAI 2022 Residual Similarity Based Conditional Independence Test and Its Application in Causal Discovery AAAI 2022 Robust Direct Learning for Causal Data Fusion ACML 2022 Robust Generalized Method of Moments: A Finite Sample Viewpoint NeurIPS 2022 Root Cause Analysis of Failures in Microservices through Causal Discovery NeurIPS 2022 Sample Constrained Treatment Effect Estimation NeurIPS 2022 Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued Interventions NeurIPS 2022 Selective Machine Learning of the Average Treatment Effect with an Invalid Instrumental Variable JMLR 2022 Sound and Complete Causal Identification with Latent Variables Given Local Background Knowledge NeurIPS 2022 Staggered Rollout Designs Enable Causal Inference Under Interference Without Network Knowledge NeurIPS 2022 Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses ICML 2022 Testing Granger Non-Causality in Panels with Cross-Sectional Dependencies AISTATS 2022 Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment NeurIPS 2022 Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation NeurIPS 2022 Truncated Matrix Power Iteration for Differentiable DAG Learning NeurIPS 2022 Using Embeddings for Causal Estimation of Peer Influence in Social Networks NeurIPS 2022 VACA: Designing Variational Graph Autoencoders for Causal Queries AAAI 2022 Verification and search algorithms for causal DAGs NeurIPS 2022