Victor Chernozhukov

34 papers A* 5Journal 28Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Adventures in Demand Analysis Using AI. CoRR Philipp Bach, Victor Chernozhukov, Sven Klaassen, Martin Spindler, Jan Teichert-Kluge, Suhas Vijaykumar
2024	J	`jnl`	Applied Causal Inference Powered by ML and AI. CoRR Victor Chernozhukov, Christian Hansen, Nathan Kallus, Martin Spindler, Vasilis Syrgkanis
2024	J	`jnl`	Automatic Doubly Robust Forests. CoRR Zhaomeng Chen, Junting Duan, Victor Chernozhukov, Vasilis Syrgkanis
2024	J	`jnl`	DoubleML: An Object-Oriented Implementation of Double Machine Learning in J. Stat. Softw. Philipp Bach, Malte S. Kurz, Victor Chernozhukov, Martin Spindler, Sven Klaassen
2024	J	`jnl`	DoubleMLDeep: Estimation of Causal Effects with Multimodal Data. CoRR Sven Klaassen, Jan Teichert-Kluge, Philipp Bach, Victor Chernozhukov, Martin Spindler, Suhas Vijaykumar
2024	—	`conf`	Hyperparameter Tuning for Causal Inference with Double Machine Learning: A Simulation Study. CLeaR Philipp Bach, Oliver Schacht, Victor Chernozhukov, Sven Klaassen, Martin Spindler
2023	A*	`conf`	Future-Dependent Value-Based Off-Policy Evaluation in POMDPs. NeurIPS Masatoshi Uehara, Haruka Kiyohara, Andrew Bennett, Victor Chernozhukov, Nan Jiang, Nathan Kallus, Chengchun Shi, Wen Sun
2023	J	`jnl`	Hedonic Prices and Quality Adjusted Price Indices Powered by AI. CoRR Patrick Bajari, Zhihao Cen, Victor Chernozhukov, Manoj Manukonda, Suhas Vijaykumar, Jin Wang, Ramón Huerta, Junbo Li, Ling Leng, George Monokroussos, Shan Wan
2022	J	`jnl`	DoubleML - An Object-Oriented Implementation of Double Machine Learning in Python. J. Mach. Learn. Res. Philipp Bach, Victor Chernozhukov, Malte S. Kurz, Martin Spindler
2022	J	`jnl`	Future-Dependent Value-Based Off-Policy Evaluation in POMDPs. CoRR Masatoshi Uehara, Haruka Kiyohara, Andrew Bennett, Victor Chernozhukov, Nan Jiang, Nathan Kallus, Chengchun Shi, Wen Sun
2022	A*	`conf`	RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests. ICML Victor Chernozhukov, Whitney Newey, Victor Quintas-Martinez, Vasilis Syrgkanis
2021	J	`jnl`	A Simple and General Debiased Machine Learning Theorem with Finite Sample Guarantees. CoRR Victor Chernozhukov, Whitney K. Newey, Rahul Singh
2021	J	`jnl`	Adversarial Estimation of Riesz Representers. CoRR Victor Chernozhukov, Whitney Newey, Rahul Singh, Vasilis Syrgkanis
2021	J	`jnl`	Causal Bias Quantification for Continuous Treatment. CoRR Gianluca Detommaso, Michael Brückner, Philip Schulz, Victor Chernozhukov
2021	A*	`conf`	Deeply-Debiased Off-Policy Interval Estimation. ICML Chengchun Shi, Runzhe Wan, Victor Chernozhukov, Rui Song
2021	J	`jnl`	Deeply-Debiased Off-Policy Interval Estimation. CoRR Chengchun Shi, Runzhe Wan, Victor Chernozhukov, Rui Song
2021	J	`jnl`	DoubleML - An Object-Oriented Implementation of Double Machine Learning in Python. CoRR Philipp Bach, Victor Chernozhukov, Malte S. Kurz, Martin Spindler
2021	J	`jnl`	DoubleML - An Object-Oriented Implementation of Double Machine Learning in R. CoRR Philipp Bach, Victor Chernozhukov, Malte S. Kurz, Martin Spindler
2021	J	`jnl`	Omitted Variable Bias in Machine Learned Causal Models. CoRR Victor Chernozhukov, Carlos Cinelli, Whitney Newey, Amit Sharma, Vasilis Syrgkanis
2021	J	`jnl`	RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests. CoRR Victor Chernozhukov, Whitney K. Newey, Victor Quintas-Martinez, Vasilis Syrgkanis
2021	J	`jnl`	Shape-Enforcing Operators for Generic Point and Interval Estimators of Functions. J. Mach. Learn. Res. Xi Chen, Victor Chernozhukov, Iván Fernández-Val, Scott Kostyshak, Ye Luo
2020	J	`jnl`	SortedEffects: Sorted Causal Effects in R. R J. Shuowen Chen, Victor Chernozhukov, Iván Fernández-Val, Ye Luo
2019	J	`jnl`	Adaptive Discrete Smoothing for High-Dimensional and Nonlinear Panel Data. CoRR Xi Chen, Victor Chernozhukov, Ye Luo, Martin Spindler
2019	J	`jnl`	Inference on weighted average value function in high-dimensional state space. CoRR Victor Chernozhukov, Whitney Newey, Vira Semenova
2019	A*	`conf`	Semi-Parametric Efficient Policy Learning with Continuous Actions. NeurIPS Victor Chernozhukov, Mert Demirer, Greg Lewis, Vasilis Syrgkanis
2019	J	`jnl`	Semi-Parametric Efficient Policy Learning with Continuous Actions. CoRR Mert Demirer, Vasilis Syrgkanis, Greg Lewis, Victor Chernozhukov
2018	J	`jnl`	Exact and Robust Conformal Inference Methods for Predictive Machine Learning With Dependent Data. CoRR Victor Chernozhukov, Kaspar Wüthrich, Yinchu Zhu
2018	A*	`conf`	Exact and Robust Conformal Inference Methods for Predictive Machine Learning with Dependent Data. COLT Victor Chernozhukov, Kaspar Wüthrich, Yinchu Zhu
2018	J	`jnl`	Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models. CoRR Victor Chernozhukov, Denis Nekipelov, Vira Semenova, Vasilis Syrgkanis
2017	J	`jnl`	Counterfactual: An R Package for Counterfactual Analysis. R J. Mingli Chen, Victor Chernozhukov, Iván Fernández-Val, Blaise Melly
2017	J	`jnl`	Vector quantile regression beyond the specified case. J. Multivar. Anal. Guillaume Carlier, Victor Chernozhukov, Alfred Galichon
2016	J	`jnl`	hdm: High-Dimensional Metrics. R J. Victor Chernozhukov, Chris Hansen, Martin Spindler
2016	J	`jnl`	quantreg.nonpar: An R Package for Performing Nonparametric Series Quantile Regression. R J. Michael Lipsitz, Alexandre Belloni, Victor Chernozhukov, Iván Fernández-Val
2015	J	`jnl`	A lava attack on the recovery of sums of dense and sparse signals. CoRR Victor Chernozhukov, Christian Hansen, Yuan Liao