Chernozhukov, Victor

8 publications

CLeaR 2024 Hyperparameter Tuning for Causal Inference with Double Machine Learning: A Simulation Study Philipp Bach, Oliver Schacht, Victor Chernozhukov, Sven Klaassen, Martin Spindler

NeurIPS 2023 Future-Dependent Value-Based Off-Policy Evaluation in POMDPs Masatoshi Uehara, Haruka Kiyohara, Andrew Bennett, Victor Chernozhukov, Nan Jiang, Nathan Kallus, Chengchun Shi, Wen Sun

MLOSS 2022 DoubleML - An Object-Oriented Implementation of Double Machine Learning in Python Philipp Bach, Victor Chernozhukov, Malte S. Kurz, Martin Spindler

ICML 2022 RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests Victor Chernozhukov, Whitney Newey, Vı́ctor M Quintas-Martı́nez, Vasilis Syrgkanis

ICML 2021 Deeply-Debiased Off-Policy Interval Estimation Chengchun Shi, Runzhe Wan, Victor Chernozhukov, Rui Song

JMLR 2021 Shape-Enforcing Operators for Generic Point and Interval Estimators of Functions Xi Chen, Victor Chernozhukov, Ivan Fernandez-Val, Scott Kostyshak, Ye Luo

NeurIPS 2019 Semi-Parametric Efficient Policy Learning with Continuous Actions Victor Chernozhukov, Mert Demirer, Greg Lewis, Vasilis Syrgkanis

COLT 2018 Exact and Robust Conformal Inference Methods for Predictive Machine Learning with Dependent Data Victor Chernozhukov, Kaspar Wüthrich, Yinchu Zhu