Co-occurring keywords · papers mentioning both
Papers
Gradient Regularized V-Learning for Dynamic Treatment Regimes
NeurIPS 2020
Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models
NeurIPS 2020
Robust causal inference under covariate shift via worst-case subpopulation treatment effects
COLT 2020
Adapting Neural Networks for the Estimation of Treatment Effects
NeurIPS 2019
Bayesian Counterfactual Risk Minimization
ICML 2019
Debiased Bayesian inference for average treatment effects
NeurIPS 2019
Doubly Robust Joint Learning for Recommendation on Data Missing Not at Random
ICML 2019
A Framework for Optimal Matching for Causal Inference
AISTATS 2017
Facilitating Score and Causal Inference Trees for Large Observational Studies
JMLR 2012
Linear-Time Estimators for Propensity Scores
AISTATS 2011
Sufficient covariates and linear propensity analysis
AISTATS 2010