Causal Inference
636 papers
Papers per year
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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