AB
Aurélien Bibaut
math.STstat.THstat.MLcs.LGstat.MEecon.EMConvolutional Neural Networkcs.CVcs.IRecon.GN
On Valency
published · living versionsW_fc55ezc8·v1 · currentpublished
Nonparametric Instrumental Variable Analysis Without Structural Equations: Debiased Inference on Functionals of Inverse Problems with No Solutions
with Zikai Shen, Nathan Kallus, Dimitri Meunier, Houssam Zenati +1
1 version
Preprints & journals
37 papers in the corpus · 2017–2026Policy Learning with Weak Signals2610.10167v1 · Benedikt Koch, Winston Chou, Aur'elien Bibaut et al.2026 · 0 citationsarXiv
Adaptive inference for functionals of M-estimands2609.39274v1 · James Leiner, Aur'elien Bibaut, Nathan Kallus et al.2026 · 0 citationsarXiv
Scalable Multi-Task Inverse Reinforcement Learning2610.00758v1 · Allen Tran, Jia Wan, Nathan Kallus et al.2026 · 0 citationsarXiv
Semiparametric inference on identification sets in choice modeling2607.21790v1 · Antoine Scheid, Jia Wan, Guy Aridor et al.2026 · 0 citationsarXiv
Reward Transfer from Inverse Reinforcement Learning: A Coupled Minimax Approach2605.27834v1 · Guang-Yuan Hao, Lars van der Laan, Aur'elien Bibaut et al.2026 · 0 citationsarXiv
Nonparametric Instrumental Variable Analysis Without Structural Equations: Debiased Inference on Functionals of Inverse Problems with No Solutions2604.24660v2 · Zikai Shen, Nathan Kallus, Dimitri Meunier et al.2026 · 0 citationsarXivon Valency
Functional Natural Policy Gradients2603.28681v2 · Aurelien Bibaut, Houssam Zenati, Thibaud Rahier et al.2026 · 0 citationsarXiv
Efficient Inference after Directionally Stable Adaptive Experiments2602.21478v1 · Zikai Shen, Houssam Zenati, Nathan Kallus et al.2026 · 0 citationsarXiv
Efficient Inference for Inverse Reinforcement Learning and Dynamic Discrete Choice Models2512.24407v2 · Lars van der Laan, Aur'elien Bibaut, Nathan Kallus2025 · 0 citationsarXiv
The Value of Personalized Recommendations: Evidence from Netflix2511.07280v5 · Kevin Zielnicki, Guy Aridor, Aur'elien Bibaut et al.2025 · 2 citationsarXiv
Fast Best-in-Class Regret for Contextual Bandits2510.15483v3 · Samuel Girard, Aurelien Bibaut, Arthur Gretton et al.2025 · 0 citationsarXiv
Inverse Reinforcement Learning with Just Classification and a Few Regressions2509.21172v2 · Lars van der Laan, Nathan Kallus, Aurelien Bibaut2025 · 0 citationsarXiv
Simulation-Based Inference for Adaptive Experiments2506.02881v1 · Brian M Cho, Aur'elien Bibaut, Nathan Kallus2025 · 0 citationsarXiv
Nonparametric Instrumental Variable Inference with Many Weak Instruments2505.07729v3 · Lars van der Laan, Nathan Kallus, Aur'elien Bibaut2025 · 0 citationsarXiv
Evaluating Decision Rules Across Many Weak Experiments2502.08763v2 · Winston Chou, Colin Gray, Nathan Kallus et al.2025 · 1 citationarXiv
Automatic Debiased Machine Learning for Smooth Functionals of Nonparametric M-Estimands2501.11868v3 · Lars van der Laan, Aurelien Bibaut, Nathan Kallus et al.2025 · 0 citationsarXiv
Semiparametric Double Reinforcement Learning with Applications to Long-Term Causal Inference2501.06926v5 · Lars van der Laan, David Hubbard, Allen Tran et al.2025 · 0 citationsarXiv
Nonparametric Jackknife Instrumental Variable Estimation and Confounding Robust Surrogate Indices2406.14140v2 · Aur'elien Bibaut, Nathan Kallus, Apoorva Lal2024 · 1 citationarXiv
Demistifying Inference after Adaptive Experiments2405.01281v1 · Aur'elien Bibaut, Nathan Kallus2024 · 0 citationsarXiv
Learning the Covariance of Treatment Effects Across Many Weak Experiments2402.17637v2 · Aur'elien Bibaut, Winston Chou, Simon Ejdemyr et al.2024 · 7 citationsarXiv
Inferring the Long-Term Causal Effects of Long-Term Treatments from Short-Term Experiments2311.08527v3 · Allen Tran, Aur'elien Bibaut, Nathan Kallus2023 · 0 citationsarXiv
Long-Term Causal Inference with Imperfect Surrogates using Many Weak Experiments, Proxies, and Cross-Fold Moments2311.04657v1 · Aur'elien Bibaut, Nathan Kallus, Simon Ejdemyr et al.2023 · 1 citationarXiv
Near-Optimal Non-Parametric Sequential Tests and Confidence Sequences with Possibly Dependent Observations2212.14411v5 · Aurelien Bibaut, Nathan Kallus, Michael Lindon2022 · 3 citationsarXiv
Post-Contextual-Bandit Inference.35785105 · Bibaut, Aurélien, Chambaz, Antoine, Dimakopoulou, Maria et al.2024 · 12 citationsAdvances in neural information processing systems. 2021;34:28548-28559
Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning.36590675 · Bibaut, Aurélien, Kallus, Nathan, Dimakopoulou, Maria et al.2023 · 4 citationsAdvances in neural information processing systems. 2021;34:19261-19273
One-step ahead sequential Super Learning from short times series of many slightly dependent data, and anticipating the cost of natural disasters2107.13291v1 · Geoffrey Ecoto (MAP5 - UMR 8145), Aur'elien Bibaut, Antoine Chambaz (MAP5 - UMR 8145)2021 · 12 citationsarXiv
Adaptive Sequential Design for a Single Time-Series2102.00102v2 · Ivana Malenica, Aurelien Bibaut, Mark J. van der Laan2021 · 1 citationarXiv
Sequential causal inference in a single world of connected units2101.07380v1 · Aurelien Bibaut, Maya Petersen, Nikos Vlassis et al.2021 · 4 citationsarXiv
Sufficient and insufficient conditions for the stochastic convergence of Cesàro means2009.05974v1 · Aur'elien F. Bibaut, Alex Luedtke, Mark J. van der Laan2020 · 1 citationarXiv
Finding hotspots: development of an adaptive spatial sampling approach.32616757 · Andrade-Pacheco, Ricardo, Rerolle, Francois, Lemoine, Jean et al.2020 · 29 citationsScientific reports. 2020;10(1):10939
Rate-adaptive model selection over a collection of black-box contextual bandit algorithms2006.03632v1 · Aur'elien F. Bibaut, Antoine Chambaz, Mark J. van der Laan2020 · 2 citationsarXiv
Generalized Policy Elimination: an efficient algorithm for Nonparametric Contextual Bandits2003.02873v1 · Aur'elien F. Bibaut, Antoine Chambaz, Mark J. van der Laan2020 · 3 citationsarXiv
More Efficient Off-Policy Evaluation through Regularized Targeted Learning1912.06292v1 · Aur'elien F. Bibaut, Ivana Malenica, Nikos Vlassis et al.2019 · 16 citationsProceedings of the 36th International Conference on Machine Learning, PMLR 97:654-663, 2019
Fast rates for empirical risk minimization over càdlàg functions with bounded sectional variation norm1907.09244v2 · Aur'elien F. Bibaut, Mark J. van der Laan2019 · 22 citationsarXiv
The Relative Performance of Ensemble Methods with Deep Convolutional Neural Networks for Image Classification.31631918 · Ju, Cheng, Bibaut, Aurélien, van der Laan, Mark2023 · 376 citationsJournal of applied statistics. 2018;45(15):2800-2818
Uniform Consistency of the Highly Adaptive Lasso Estimator of Infinite Dimensional Parameters1709.06256v1 · Mark J. van der Laan, Aur'elien F. Bibaut2017 · 5 citationsarXiv
Data-adaptive smoothing for optimal-rate estimation of possibly non-regular parameters1706.07408v2 · Aurelien F. Bibaut, Mark J. van der Laan2017 · 5 citationsarXiv
Career total: 48 works. 37 are in this corpus.
Profile built from the corpus for this byline.
Author records are still filling in while the Hub is in alpha. If this is your page, you'll be able to claim it soon. Spot a mistake? Tell us.