Victor Chernozhukov
Massachusetts Institute of Technology
H-index: 73
North America-United States
Top articles of Victor Chernozhukov
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Hyperparameter Tuning for Causal Inference with Double Machine Learning: A Simulation Study | arXiv preprint arXiv:2402.04674 | Philipp Bach Oliver Schacht Victor Chernozhukov Sven Klaassen Martin Spindler | 2024/2/7 |
DoubleMLDeep: Estimation of Causal Effects with Multimodal Data | arXiv preprint arXiv:2402.01785 | Sven Klaassen Jan Teichert-Kluge Philipp Bach Victor Chernozhukov Martin Spindler | 2024/2/1 |
Arellano-Bond LASSO Estimator for Dynamic Linear Panel Models | arXiv preprint arXiv:2402.00584 | Victor Chernozhukov Iván Fernández-Val Chen Huang Weining Wang | 2024/2/1 |
Heterogeneity in the US gender wage gap | Journal of the Royal Statistical Society Series A: Statistics in Society | Philipp Bach Victor Chernozhukov Martin Spindler | 2024/1 |
Estimating Causal Effects of Discrete and Continuous Treatments with Binary Instruments | arXiv preprint arXiv:2403.05850 | Victor Chernozhukov Iván Fernández-Val Sukjin Han Kaspar Wüthrich | 2024/3/9 |
Inference for low-rank models | Annals of Statistics, 2024 (to appear); arXiv preprint arXiv:2107.02602 | Victor Chernozhukov Christian Hansen Yuan Liao Yinchu Zhu | 2024 |
Applied Causal Inference Powered by ML and AI | Victor Chernozhukov Chris Hansen Nathan Kallus Martin Spindler Vasilis Syrgkanis | 2024 | |
Future-dependent value-based off-policy evaluation in pomdps | NeurIPS, 2023 (arXiv preprint arXiv:2207.13081) | Masatoshi Uehara Haruka Kiyohara Andrew Bennett Victor Chernozhukov Nan Jiang | 2023 |
Toward personalized inference on individual treatment effects | Proceedings of the National Academy of Sciences | Victor Chernozhukov Kaspar Wüthrich Yinchu Zhu | 2023/2/14 |
High-dimensional Data Bootstrap | Victor Chernozhukov Denis Chetverikov Kengo Kato Yuta Koike | 2022/5/19 | |
Supplement to “Inference for low-rank models.” | VICTOR CHERNOZHUKOV CHRISTIAN HANSEN YUAN LIAO YINCHU ZHU | 2023 | |
Nearly optimal central limit theorem and bootstrap approximations in high dimensions | Annals of Applied Probability 2023; arXiv preprint 2020; arXiv:2012.09513 | Victor Chernozhukov Denis Chetverikov Yuta Koike | 2023 |
Supplement to ‘Inference on heterogeneous treatment effects in high-dimensional dynamic panels under weak dependence’ | Quantitative Economics Supplemental Material | Vira Semenova Matt Goldman Victor Chernozhukov Matt Taddy | 2023 |
Uniform inference in high-dimensional gaussian graphical models | Biometrika (2023); arXiv preprint arXiv:1808.10532 | Sven Klaassen Jannis Kück Martin Spindler Victor Chernozhukov | 2023 |
Distribution regression with sample selection and UK wage decomposition | Victor Chernozhukov Iván Fernández-Val Siyi Luo | 2023 | |
Constrained conditional moment restriction models | Econometrica 2023; arXiv preprint arXiv:1509.06311 | Victor Chernozhukov Whitney K Newey Andres Santos | 2023 |
Inference on Heterogeneous Treatment Effects in High-Dimensional Dynamic Panels under Weak Dependence | Quantitative Economics; 2023, to appear; arXiv preprint arXiv:1712.09988, 2017 | VIRA SEMENOVA MATT GOLDMAN VICTOR CHERNOZHUKOV MATT TADDY | 2023 |
Long story short: Omitted variable bias in causal machine learning | Victor Chernozhukov Carlos Cinelli Whitney Newey Amit Sharma Vasilis Syrgkanis | 2022/8/1 | |
Improved central limit theorem and bootstrap approximations in high dimensions | The Annals of Statistics | Victor Chernozhuokov Denis Chetverikov Kengo Kato Yuta Koike | 2022/10 |
Automatic debiased machine learning of causal and structural effects | Econometrica 2022; arXiv preprint arXiv:1809.05224 | Victor Chernozhukov Whitney K Newey Rahul Singh | 2022 |
Co-Authors
