Orthogonal statistical learning

Offline Multi-Action Policy Learning: Generalization and Optimization

(2022) Zhengyuan Zhou et al.   OPERATIONS RESEARCH

Augmented minimax linear estimation

(2021) David A. Hirshberg et al.   ANNALS OF STATISTICS

Robust estimation of causal effects via a high-dimensional covariate balancing propensity score

(2020) Yang Ning et al.   BIOMETRIKA

Quasi-Oracle Estimation of Heterogeneous Treatment Effects

(2020) X Nie et al.   BIOMETRIKA

Debiased machine learning of conditional average treatment effects and other causal functions

(2020) Vira Semenova et al.   Econometrics Journal

Local Linear Forests

(2020) Rina Friedberg et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Metalearners for estimating heterogeneous treatment effects using machine learning

(2019) Sören R. Künzel et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Generalized random forests

(2019) Susan Athey et al.   ANNALS OF STATISTICS

Double/debiased machine learning for treatment and structural parameters

(2018) Victor Chernozhukov et al.   Econometrics Journal

Robust causal inference with continuous instruments using the local instrumental variable curve

(2018) Edward H. Kennedy et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Residual Weighted Learning for Estimating Individualized Treatment Rules

(2017) Xin Zhou et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Non-parametric methods for doubly robust estimation of continuous treatment effects

(2016) Edward H. Kennedy et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Sieve Wald and QLR Inferences on Semi/Nonparametric Conditional Moment Models

(2015) Xiaohong Chen et al.   ECONOMETRICA

Estimation of Nonparametric Conditional Moment Models With Possibly Nonsmooth Generalized Residuals

(2012)   ECONOMETRICA

The semiparametric efficiency bound for models of sequential moment restrictions containing unknown functions

(2012) Chunrong Ai et al.   JOURNAL OF ECONOMETRICS

Estimating Individualized Treatment Rules Using Outcome Weighted Learning

(2012) Yingqi Zhao et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Discrepancy, chaining and subgaussian processes

(2011) Shahar Mendelson   ANNALS OF PROBABILITY

Performance guarantees for individualized treatment rules

(2011) Min Qian et al.   ANNALS OF STATISTICS

Nonparametric Regression With Missing Outcomes Using Weighted Kernel Estimating Equations

(2010) Lu Wang et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Regularization in kernel learning

(2009) Shahar Mendelson et al.   ANNALS OF STATISTICS

Efficient estimation of semiparametric conditional moment models with possibly nonsmooth residuals

(2009) Xiaohong Chen et al.   JOURNAL OF ECONOMETRICS