Boyer, Claire

18 publications

AISTATS 2025 A Primer on Linear Classification with Missing Data Angel David REYERO Lobo, Alexis Ayme, Claire Boyer, Erwan Scornet

TMLR 2025 An Analysis of the Noise Schedule for Score-Based Generative Models Stanislas Strasman, Antonio Ocello, Claire Boyer, Sylvain Le Corff, Vincent Lemaire

ICLR 2025 Attention Layers Provably Solve Single-Location Regression Pierre Marion, Raphaël Berthier, Gérard Biau, Claire Boyer

NeurIPS 2025 Attention-Based Clustering Rodrigo Maulen-Soto, Pierre Marion, Claire Boyer

ICML 2025 Optimal Transport-Based Conformal Prediction Gauthier Thurin, Kimia Nadjahi, Claire Boyer

JMLR 2025 Physics-Informed Kernel Learning Nathan Doumèche, Francis Bach, Gérard Biau, Claire Boyer

COLT 2025 Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization Yu-Han Wu, Pierre Marion, Gérard Biau, Claire Boyer

NeurIPS 2025 Wasserstein Convergence of Critically Damped Langevin Diffusions Stanislas Strasman, Sobihan Surendran, Claire Boyer, Sylvain Le Corff, Vincent Lemaire, Antonio Ocello

COLT 2024 Physics-Informed Machine Learning as a Kernel Method Nathan Doumèche, Francis Bach, Gérard Biau, Claire Boyer

ICML 2024 Random Features Models: A Way to Study the Success of Naive Imputation Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet

AISTATS 2023 Is Interpolation Benign for Random Forest Regression? Ludovic Arnould, Claire Boyer, Erwan Scornet

ICML 2023 Naive Imputation Implicitly Regularizes High-Dimensional Linear Models Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet

ICLR 2023 Sparse Tree-Based Initialization for Neural Networks Patrick Lutz, Ludovic Arnould, Claire Boyer, Erwan Scornet

ICML 2022 Near-Optimal Rate of Consistency for Linear Models with Missing Values Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet

ICML 2021 Analyzing the Tree-Layer Structure of Deep Forests Ludovic Arnould, Claire Boyer, Erwan Scornet

NeurIPS 2020 Debiasing Averaged Stochastic Gradient Descent to Handle Missing Values Aude Sportisse, Claire Boyer, Aymeric Dieuleveut, Julie Josse

NeurIPS 2020 Estimation and Imputation in Probabilistic Principal Component Analysis with Missing Not at Random Data Aude Sportisse, Claire Boyer, Julie Josse

ICML 2020 Missing Data Imputation Using Optimal Transport Boris Muzellec, Julie Josse, Claire Boyer, Marco Cuturi