Characterization of parameters with a mixed bias property

7 April 2019

Papers citing "Characterization of parameters with a mixed bias property"

8 / 8 papers shown

Title
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation Jikai Jin Vasilis Syrgkanis CML 67 1 0 22 Feb 2024
The Fundamental Limits of Structure-Agnostic Functional Estimation Sivaraman Balakrishnan Edward H. Kennedy Larry A. Wasserman 20 11 0 06 May 2023
Demystifying statistical learning based on efficient influence functions Oliver Hines O. Dukes Karla Diaz-Ordaz S. Vansteelandt TDI 19 110 0 01 Jul 2021
Rejoinder: On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning Lin Liu Rajarshi Mukherjee J. M. Robins CML 33 16 0 07 Aug 2020
Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables Rohit Bhattacharya Razieh Nabi I. Shpitser CML 22 64 0 27 Mar 2020
Efficiently Breaking the Curse of Horizon in Off-Policy Evaluation with Double Reinforcement Learning Nathan Kallus Masatoshi Uehara OffRL 18 87 0 12 Sep 2019
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes Nathan Kallus Masatoshi Uehara OffRL 38 181 0 22 Aug 2019
$A unifying approach for doubly-robust $\ell_1$ regularized estimation of causal contrasts$ A unifying approach for doubly-robust $\ell_1$ regularized estimation of causal contrasts Ezequiel Smucler A. Rotnitzky J. M. Robins CML 24 76 0 07 Apr 2019