Search Results - "Bibaut, Aurélien" :: K.UTB vyhledávací portál

Loading…

The relative performance of ensemble methods with deep convolutional neural networks for image classification

by Ju, Cheng, Bibaut, Aurélien, van der Laan, Mark
Published in Journal of applied statistics (01.01.2018)

Get full text

Journal Article

Loading…

Forecasting the cost of drought events in France by Super Learning from a short time series of many slightly dependent data

by Ecoto, Geoffrey, Bibaut, Aurélien F., Chambaz, Antoine
Published in Computational statistics (23.09.2024)

Get full text

Journal Article

Loading…

Finding hotspots: development of an adaptive spatial sampling approach

by Andrade-Pacheco, Ricardo, Rerolle, Francois, Lemoine, Jean, Hernandez, Leda, Meïté, Aboulaye, Juziwelo, Lazarus, Bibaut, Aurélien F., van der Laan, Mark J., Arnold, Benjamin F., Sturrock, Hugh J. W.
Published in Scientific reports (02.07.2020)

Get full text

Journal Article

Loading…

Post-Contextual-Bandit Inference

by Bibaut, Aurélien, Chambaz, Antoine, Dimakopoulou, Maria, Kallus, Nathan, van der Laan, Mark
Published in Advances in neural information processing systems (01.12.2021)

Get more information

Journal Article

Loading…

Statistical Methods for Causal Inference from Sequentially Collected Data and Sequential Decision Making

by Bibaut, Aurélien
Year of Publication 01.01.2021

Get full text

Dissertation

Loading…

Demistifying Inference after Adaptive Experiments

by Bibaut, Aurélien, Kallus, Nathan
Year of Publication 02.05.2024

Get full text

Journal Article

Loading…

Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning

by Bibaut, Aurélien, Kallus, Nathan, Dimakopoulou, Maria, Chambaz, Antoine, van der Laan, Mark
Published in Advances in neural information processing systems (01.12.2021)

Get full text

Journal Article

Loading…

Nonparametric Jackknife Instrumental Variable Estimation and Confounding Robust Surrogate Indices

by Bibaut, Aurélien, Kallus, Nathan, Lal, Apoorva
Year of Publication 20.06.2024

Get full text

Journal Article

Loading…

Inferring the Long-Term Causal Effects of Long-Term Treatments from Short-Term Experiments

by Tran, Allen, Bibaut, Aurélien, Kallus, Nathan
Year of Publication 14.11.2023

Get full text

Journal Article

Loading…

Learning the Covariance of Treatment Effects Across Many Weak Experiments

by Bibaut, Aurélien, Chou, Winston, Ejdemyr, Simon, Kallus, Nathan
Year of Publication 27.02.2024

Get full text

Journal Article

Loading…

Long-Term Causal Inference with Imperfect Surrogates using Many Weak Experiments, Proxies, and Cross-Fold Moments

by Bibaut, Aurélien, Kallus, Nathan, Ejdemyr, Simon, Zhao, Michael
Year of Publication 08.11.2023

Get full text

Journal Article

Loading…

One-step ahead sequential Super Learning from short times series of many slightly dependent data, and anticipating the cost of natural disasters

by Ecoto, Geoffrey, Bibaut, Aurélien, Chambaz, Antoine
Year of Publication 28.07.2021

Get full text

Journal Article

Loading…

Nonparametric Jackknife Instrumental Variable Estimation and Confounding Robust Surrogate Indices

by Bibaut, Aurélien, Kallus, Nathan, Lal, Apoorva
Published in arXiv.org (20.06.2024)

Get full text

Paper

Loading…

Inferring the Long-Term Causal Effects of Long-Term Treatments from Short-Term Experiments

by Tran, Allen, Bibaut, Aurélien, Kallus, Nathan
Published in arXiv.org (04.06.2024)

Get full text

Paper

Loading…

$Sufficient and insufficient conditions for the stochastic convergence of Ces\`{a}ro means$

Sufficient and insufficient conditions for the stochastic convergence of Ces\`{a}ro means

by Bibaut, Aurélien F, Luedtke, Alex, van der Laan, Mark J
Year of Publication 13.09.2020

Get full text

Journal Article

Loading…

Learning the Covariance of Treatment Effects Across Many Weak Experiments

by Bibaut, Aurélien, Chou, Winston, Ejdemyr, Simon, Kallus, Nathan
Published in arXiv.org (30.07.2024)

Get full text

Paper

Loading…

Rate-adaptive model selection over a collection of black-box contextual bandit algorithms

by Bibaut, Aurélien F, Chambaz, Antoine, van der Laan, Mark J
Year of Publication 05.06.2020

Get full text

Journal Article

Loading…

Generalized Policy Elimination: an efficient algorithm for Nonparametric Contextual Bandits

by Bibaut, Aurélien F, Chambaz, Antoine, van der Laan, Mark J
Year of Publication 05.03.2020

Get full text

Journal Article

Loading…

Long-Term Causal Inference with Imperfect Surrogates using Many Weak Experiments, Proxies, and Cross-Fold Moments

by Bibaut, Aurélien, Kallus, Nathan, Ejdemyr, Simon, Zhao, Michael
Published in arXiv.org (08.11.2023)

Get full text

Paper

Loading…

Post-Contextual-Bandit Inference

by Bibaut, Aurélien, Chambaz, Antoine, Dimakopoulou, Maria, Kallus, Nathan, van der Laan, Mark
Year of Publication 01.06.2021

Get full text

Journal Article

Refine Results

Format

Subject Area

Topic

Language

Year of Publication

Database