doubly robust estimator

Off-Policy Risk Assessment for Markov Decision Processes AISTATS 2022 Doubly Robust Thompson Sampling with Linear Payoffs NeurIPS 2021 Off-Policy Risk Assessment in Contextual Bandits NeurIPS 2021 Online Multi-Armed Bandits with Adaptive Inference NeurIPS 2021 Post-Contextual-Bandit Inference NeurIPS 2021 SOPE: Spectrum of Off-Policy Estimators NeurIPS 2021 The Adaptive Doubly Robust Estimator and a Paradox Concerning Logging Policy NeurIPS 2021 Counterfactual Predictions under Runtime Confounding NeurIPS 2020 Doubly robust off-policy evaluation with shrinkage ICML 2020 Doubly Robust Off-Policy Value and Gradient Estimation for Deterministic Policies NeurIPS 2020 Efficient Policy Learning from Surrogate-Loss Classification Reductions ICML 2020 From Importance Sampling to Doubly Robust Policy Gradient ICML 2020 Generalized Optimal Matching Methods for Causal Inference JMLR 2020 CAB: Continuous Adaptive Blending for Policy Evaluation and Learning ICML 2019 More Efficient Off-Policy Evaluation through Regularized Targeted Learning ICML 2019 More Robust Doubly Robust Off-policy Evaluation ICML 2018 Policy Evaluation and Optimization with Continuous Treatments AISTATS 2018 Semiparametric Contextual Bandits ICML 2018 Optimal and Adaptive Off-policy Evaluation in Contextual Bandits ICML 2017 Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning ICML 2016 Doubly Robust Off-policy Value Evaluation for Reinforcement Learning ICML 2016