Victor Chernozhukov

According to our database, Victor Chernozhukov authored at least 26 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DoubleML: An Object-Oriented Implementation of Double Machine Learning in <i>R</i>.

Philipp Bach, Malte S. Kurz, Victor Chernozhukov, Martin Spindler, Sven Klaassen

J. Stat. Softw., 2024

Applied Causal Inference Powered by ML and AI.

Victor Chernozhukov, Christian Hansen, Nathan Kallus, Martin Spindler, Vasilis Syrgkanis

CoRR, 2024

DoubleMLDeep: Estimation of Causal Effects with Multimodal Data.

Sven Klaassen, Jan Teichert-Kluge, Philipp Bach, Victor Chernozhukov, Martin Spindler, Suhas Vijaykumar

CoRR, 2024

Hyperparameter Tuning for Causal Inference with Double Machine Learning: A Simulation Study.

Philipp Bach, Oliver Schacht, Victor Chernozhukov, Sven Klaassen, Martin Spindler

Proceedings of the Causal Learning and Reasoning, 2024

2023

Hedonic Prices and Quality Adjusted Price Indices Powered by AI.

Patrick Bajari, Zhihao Cen, Victor Chernozhukov, Manoj Manukonda, Suhas Vijaykumar, Jin Wang, Ramón Huerta, Junbo Li, Ling Leng, George Monokroussos, Shan Wan

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

DoubleML - An Object-Oriented Implementation of Double Machine Learning in Python.

Philipp Bach, Victor Chernozhukov, Malte S. Kurz, Martin Spindler

J. Mach. Learn. Res., 2022

RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests.

Victor Chernozhukov, Whitney Newey, Victor Quintas-Martinez, Vasilis Syrgkanis

Proceedings of the International Conference on Machine Learning, 2022

2021

Shape-Enforcing Operators for Generic Point and Interval Estimators of Functions.

Xi Chen, Victor Chernozhukov, Iván Fernández-Val, Scott Kostyshak, Ye Luo

J. Mach. Learn. Res., 2021

Omitted Variable Bias in Machine Learned Causal Models.

Victor Chernozhukov, Carlos Cinelli, Whitney Newey, Amit Sharma, Vasilis Syrgkanis

CoRR, 2021

Causal Bias Quantification for Continuous Treatment.

Gianluca Detommaso, Michael Brückner, Philip Schulz, Victor Chernozhukov

CoRR, 2021

A Simple and General Debiased Machine Learning Theorem with Finite Sample Guarantees.

Victor Chernozhukov, Whitney K. Newey, Rahul Singh

CoRR, 2021

DoubleML - An Object-Oriented Implementation of Double Machine Learning in R.

Philipp Bach, Victor Chernozhukov, Malte S. Kurz, Martin Spindler

CoRR, 2021

Adversarial Estimation of Riesz Representers.

Victor Chernozhukov, Whitney Newey, Rahul Singh, Vasilis Syrgkanis

CoRR, 2021

Deeply-Debiased Off-Policy Interval Estimation.

Chengchun Shi, Runzhe Wan, Victor Chernozhukov, Rui Song

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

SortedEffects: Sorted Causal Effects in R.

Shuowen Chen, Victor Chernozhukov, Iván Fernández-Val, Ye Luo

R J., 2020

2019

Adaptive Discrete Smoothing for High-Dimensional and Nonlinear Panel Data.

Xi Chen, Victor Chernozhukov, Ye Luo, Martin Spindler

CoRR, 2019

Inference on weighted average value function in high-dimensional state space.

Victor Chernozhukov, Whitney Newey, Vira Semenova

CoRR, 2019

Semi-Parametric Efficient Policy Learning with Continuous Actions.

Victor Chernozhukov, Mert Demirer, Greg Lewis, Vasilis Syrgkanis

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models.

Victor Chernozhukov, Denis Nekipelov, Vira Semenova, Vasilis Syrgkanis

CoRR, 2018

Exact and Robust Conformal Inference Methods for Predictive Machine Learning with Dependent Data.

Victor Chernozhukov, Kaspar Wüthrich, Yinchu Zhu

Proceedings of the Conference On Learning Theory, 2018

2017

Counterfactual: An R Package for Counterfactual Analysis.

Mingli Chen, Victor Chernozhukov, Iván Fernández-Val, Blaise Melly

R J., 2017

Vector quantile regression beyond the specified case.

Guillaume Carlier, Victor Chernozhukov, Alfred Galichon

J. Multivar. Anal., 2017

2016

quantreg.nonpar: An R Package for Performing Nonparametric Series Quantile Regression.

Michael Lipsitz, Alexandre Belloni, Victor Chernozhukov, Iván Fernández-Val

R J., 2016

hdm: High-Dimensional Metrics.

Victor Chernozhukov, Chris Hansen, Martin Spindler

R J., 2016

2015

A lava attack on the recovery of sums of dense and sparse signals.

Victor Chernozhukov, Christian Hansen, Yuan Liao

CoRR, 2015