Victor Chernozhukov

11 papers · 2018–2026 · 6 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🗺️ Taxonomy Completionist (19) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🧬 Topic Evolution 🏆 Keyword Champion (4) 🧭 Keyword Pioneer 💎 Century Club · Bronze 📈 Trend Setter

Venues

CLeaR (3) ICML (2) JMLR (2) NeurIPS (2) ACL (1) COLT (1)

Top co-authors

Philipp Bach (3) Martin Spindler (3) Sven Klaassen (2) Vasilis Syrgkanis (2) Chengchun Shi (2) Rui Song (1) Malte S. Kurz (1) Anqi Ni (1) Kaspar Wüthrich (1) Edward W Huang (1)

Research topics

Machine Learning (9) Optimization & Theory (6) Artificial Intelligence (5) Core AI (5) Mathematics & Optimization (3) Core Methods (3) Learning Types (3) Reinforcement Learning (2) Methods (2) Deep Learning (1) Architectures (1) Mathematics (1) Optimization (1) Statistics (1)

Keywords

causal inference (7) double machine learning (4) treatment effect (3) off-policy evaluation (3) neural network (2) nuisance parameter (2) bellman equation (1) point estimation (1) time series (1) value estimation (1) sensitivity analysis (1) hyperparameter tuning (1) continuous action space (1) sample selection (1) function approximation (1) conformal inference (1) bias correction (1) continuous action (1) semiparametric efficiency (1) confidence interval (1)

Papers

Agentic Economic Modeling ACL 2026 Automatic debiased machine learning and sensitivity analysis for sample selection models CLeaR 2026 Valid Inference for Treatment Effects under Multimodal Confounding CLeaR 2026 Hyperparameter Tuning for Causal Inference with Double Machine Learning: A Simulation Study CLeaR 2024 Future-Dependent Value-Based Off-Policy Evaluation in POMDPs NeurIPS 2023 DoubleML - An Object-Oriented Implementation of Double Machine Learning in Python JMLR 2022 RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests ICML 2022 Deeply-Debiased Off-Policy Interval Estimation ICML 2021 Shape-Enforcing Operators for Generic Point and Interval Estimators of Functions JMLR 2021 Semi-Parametric Efficient Policy Learning with Continuous Actions NeurIPS 2019 Exact and Robust Conformal Inference Methods for Predictive Machine Learning with Dependent Data COLT 2018