Victor Chernozhukov

According to our database1, Victor Chernozhukov authored at least 26 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
Dataset
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Links

On csauthors.net:

Bibliography

2024
DoubleML: An Object-Oriented Implementation of Double Machine Learning in <i>R</i>.
J. Stat. Softw., 2024

Applied Causal Inference Powered by ML and AI.
CoRR, 2024

DoubleMLDeep: Estimation of Causal Effects with Multimodal Data.
CoRR, 2024

Hyperparameter Tuning for Causal Inference with Double Machine Learning: A Simulation Study.
Proceedings of the Causal Learning and Reasoning, 2024

2023
Hedonic Prices and Quality Adjusted Price Indices Powered by AI.
CoRR, 2023

Future-Dependent Value-Based Off-Policy Evaluation in POMDPs.
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.
J. Mach. Learn. Res., 2022

RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests.
Proceedings of the International Conference on Machine Learning, 2022

2021
Shape-Enforcing Operators for Generic Point and Interval Estimators of Functions.
J. Mach. Learn. Res., 2021

Omitted Variable Bias in Machine Learned Causal Models.
CoRR, 2021

Causal Bias Quantification for Continuous Treatment.
CoRR, 2021

A Simple and General Debiased Machine Learning Theorem with Finite Sample Guarantees.
CoRR, 2021

DoubleML - An Object-Oriented Implementation of Double Machine Learning in R.
CoRR, 2021

Adversarial Estimation of Riesz Representers.
CoRR, 2021

Deeply-Debiased Off-Policy Interval Estimation.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
SortedEffects: Sorted Causal Effects in R.
R J., 2020

2019
Adaptive Discrete Smoothing for High-Dimensional and Nonlinear Panel Data.
CoRR, 2019

Inference on weighted average value function in high-dimensional state space.
CoRR, 2019

Semi-Parametric Efficient Policy Learning with Continuous Actions.
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.
CoRR, 2018

Exact and Robust Conformal Inference Methods for Predictive Machine Learning with Dependent Data.
Proceedings of the Conference On Learning Theory, 2018

2017
Counterfactual: An R Package for Counterfactual Analysis.
R J., 2017

Vector quantile regression beyond the specified case.
J. Multivar. Anal., 2017

2016
quantreg.nonpar: An R Package for Performing Nonparametric Series Quantile Regression.
R J., 2016

hdm: High-Dimensional Metrics.
R J., 2016

2015
A lava attack on the recovery of sums of dense and sparse signals.
CoRR, 2015


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