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Causal Inference

523 directly classified papers

Papers per year

Papers

Probabilistic Reasoning Across the Causal Hierarchy AAAI 2020
Estimating Causal Effects Using Weighting-Based Estimators AAAI 2020
Off-Policy Evaluation and Learning for External Validity under a Covariate Shift NIPS 2020
Causal Estimation with Functional Confounders NIPS 2020
Towards practical differentially private causal graph discovery NIPS 2020
Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates ACL 2020
Uncertainty Quantification for Inferring Hawkes Networks NIPS 2020
General Control Functions for Causal Effect Estimation from IVs NIPS 2020
Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding NIPS 2020
A polynomial-time algorithm for learning nonparametric causal graphs NIPS 2020
GPSfM: Global Projective SFM Using Algebraic Constraints on Multi-View Fundamental Matrices CVPR 2019
Learning to Address Health Inequality in the United States with a Bayesian Decision Network AAAI 2019
Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services AAAI 2019
Counterfactual Reasoning in Observational Studies AAAI 2019
Path-Specific Counterfactual Fairness AAAI 2019
Estimating the Causal Effect from Partially Observed Time Series AAAI 2019
Minimum Intervention Cover of a Causal Graph AAAI 2019
Identification of Causal Effects in the Presence of Selection Bias AAAI 2019
Counterfactual Randomization: Rescuing Experimental Studies from Obscured Confounding AAAI 2019
A Normative Theory for Causal Inference and Bayes Factor Computation in Neural Circuits NIPS 2019
The Label Complexity of Active Learning from Observational Data NIPS 2019
Deep Generalized Method of Moments for Instrumental Variable Analysis NIPS 2019
Kernel Instrumental Variable Regression NIPS 2019
Likelihood-Free Overcomplete ICA and Applications In Causal Discovery NIPS 2019
Causal Regularization NIPS 2019