| 2026 | COLT | CONVERGENCE RATES FOR DISTRIBUTION MATCHING WITH SLICED OPTIMAL TRANSPORT. | Gauthier Thurin, Claire Boyer, Kimia Nadjahi |
| 2025 | AISTATS | A primer on linear classification with missing data. | Angel David Reyero Lobo, Alexis Ayme, Claire Boyer, Erwan Scornet |
| 2025 | COLT | Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization. | Yu-Han Wu, Pierre Marion, Grard Biau, Claire Boyer |
| 2025 | ICLR | Attention layers provably solve single-location regression. | Pierre Marion, Raphal Berthier, Grard Biau, Claire Boyer |
| 2025 | ICML | Optimal transport-based conformal prediction. | Gauthier Thurin, Kimia Nadjahi, Claire Boyer |
| 2024 | COLT | Physics-informed machine learning as a kernel method. | Nathan Doumche, Francis R. Bach, Grard Biau, Claire Boyer |
| 2024 | ICML | Random features models: a way to study the success of naive imputation. | Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet |
| 2023 | AISTATS | Is interpolation benign for random forest regression? | Ludovic Arnould, Claire Boyer, Erwan Scornet |
| 2023 | ICLR | Sparse tree-based Initialization for Neural Networks. | Patrick Lutz, Ludovic Arnould, Claire Boyer, Erwan Scornet |
| 2023 | ICML | Naive imputation implicitly regularizes high-dimensional linear models. | Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet |
| 2022 | ICML | Near-optimal rate of consistency for linear models with missing values. | Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet |
| 2021 | ICML | Analyzing the tree-layer structure of Deep Forests. | Ludovic Arnould, Claire Boyer, Erwan Scornet |
| 2020 | ICML | Missing Data Imputation using Optimal Transport. | Boris Muzellec, Julie Josse, Claire Boyer, Marco Cuturi |