Claire Boyer - RankMe

54 papers A* 12A 2Journal 39Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Convergence Rates for Distribution Matching with Sliced Optimal Transport. CoRR Gauthier Thurin, Claire Boyer, Kimia Nadjahi
2025	A	`conf`	A primer on linear classification with missing data. AISTATS Angel David Reyero Lobo, Alexis Ayme, Claire Boyer, Erwan Scornet
2025	J	`jnl`	An analysis of the noise schedule for score-based generative models. Trans. Mach. Learn. Res. Stanislas Strasman, Antonio Ocello, Claire Boyer, Sylvain Le Corff, Vincent Lemaire
2025	A*	`conf`	Attention layers provably solve single-location regression. ICLR Pierre Marion, Raphaël Berthier, Gérard Biau, Claire Boyer
2025	J	`jnl`	Attention-based clustering. CoRR Rodrigo Maulen-Soto, Claire Boyer, Pierre Marion
2025	J	`jnl`	Fast kernel methods: Sobolev, physics-informed, and additive models. CoRR Nathan Doumèche, Francis Bach, Gérard Biau, Claire Boyer
2025	J	`jnl`	Forecasting time series with constraints. CoRR Nathan Doumèche, Francis R. Bach, Éloi Bedek, Gérard Biau, Claire Boyer, Yannig Goude
2025	J	`jnl`	Optimal Stopping in Latent Diffusion Models. CoRR Yu-Han Wu, Quentin Berthet, Gérard Biau, Claire Boyer, Romuald Elie, Pierre Marion
2025	J	`jnl`	Optimal Transport-based Conformal Prediction. CoRR Gauthier Thurin, Kimia Nadjahi, Claire Boyer
2025	A*	`conf`	Optimal transport-based conformal prediction. ICML Gauthier Thurin, Kimia Nadjahi, Claire Boyer
2025	J	`jnl`	Physics-informed Kernel Learning. J. Mach. Learn. Res. Nathan Doumèche, Francis Bach, Gérard Biau, Claire Boyer
2025	J	`jnl`	Softmax as Linear Attention in the Large-Prompt Regime: a Measure-based Perspective. CoRR Etienne Boursier, Claire Boyer
2025	J	`jnl`	Statistical Advantage of Softmax Attention: Insights from Single-Location Regression. CoRR O. Duranthon, Pierre Marion, Claire Boyer, Bruno Loureiro, Lenka Zdeborová
2025	A*	`conf`	Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization. COLT Yu-Han Wu, Pierre Marion, Gérard Biau, Claire Boyer
2025	J	`jnl`	Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization. CoRR Yu-Han Wu, Pierre Marion, Gérard Biau, Claire Boyer
2024	J	`jnl`	Attention layers provably solve single-location regression. CoRR Pierre Marion, Raphaël Berthier, Gérard Biau, Claire Boyer
2024	J	`jnl`	Correction: On the asymptotic rate of convergence of Stochastic Newton algorithms and their Weighted Averaged versions. Comput. Optim. Appl. Claire Boyer, Antoine Godichon-Baggioni
2024	J	`jnl`	Model-based clustering with missing not at random data. Stat. Comput. Aude Sportisse, Matthieu Marbac, Fabien Laporte, Gilles Celeux, Claire Boyer, Julie Josse, Christophe Biernacki
2024	J	`jnl`	Physics-informed kernel learning. CoRR Nathan Doumèche, Francis R. Bach, Gérard Biau, Claire Boyer
2024	A*	`conf`	Physics-informed machine learning as a kernel method. COLT Nathan Doumèche, Francis R. Bach, Gérard Biau, Claire Boyer
2024	J	`jnl`	Physics-informed machine learning as a kernel method. CoRR Nathan Doumèche, Francis R. Bach, Claire Boyer, Gérard Biau
2024	A*	`conf`	Random features models: a way to study the success of naive imputation. ICML Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet
2023	A	`conf`	Is interpolation benign for random forest regression? AISTATS Ludovic Arnould, Claire Boyer, Erwan Scornet
2023	A*	`conf`	Naive imputation implicitly regularizes high-dimensional linear models. ICML Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet
2023	J	`jnl`	On the asymptotic rate of convergence of Stochastic Newton algorithms and their Weighted Averaged versions. Comput. Optim. Appl. Claire Boyer, Antoine Godichon-Baggioni
2023	J	`jnl`	Proximal boosting: Aggregating weak learners to minimize non-differentiable losses. Neurocomputing Erwan Fouillen, Claire Boyer, Maxime Sangnier
2023	J	`jnl`	Sampling Rates for ℓ Found. Comput. Math. Maximilian März, Claire Boyer, Jonas Kahn, Pierre Weiss
2023	A*	`conf`	Sparse tree-based Initialization for Neural Networks. ICLR Patrick Lutz, Ludovic Arnould, Claire Boyer, Erwan Scornet
2022	J	`jnl`	Minimax rate of consistency for linear models with missing values. CoRR Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet
2022	A*	`conf`	Near-optimal rate of consistency for linear models with missing values. ICML Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet
2022	J	`jnl`	Sparse tree-based initialization for neural networks. CoRR Patrick Lutz, Ludovic Arnould, Claire Boyer, Erwan Scornet
2021	A*	`conf`	Analyzing the tree-layer structure of Deep Forests. ICML Ludovic Arnould, Claire Boyer, Erwan Scornet
2021	J	`jnl`	Model-based Clustering with Missing Not At Random Data. CoRR Aude Sportisse, Christophe Biernacki, Claire Boyer, Julie Josse, Matthieu Marbac Lourdelle, Gilles Celeux, Fabien Laporte
2020	J	`jnl`	Analyzing the tree-layer structure of Deep Forests. CoRR Ludovic Arnould, Claire Boyer, Erwan Scornet
2020	A*	`conf`	Debiasing Averaged Stochastic Gradient Descent to handle missing values. NeurIPS Aude Sportisse, Claire Boyer, Aymeric Dieuleveut, Julie Josse
2020	A*	`conf`	Estimation and Imputation in Probabilistic Principal Component Analysis with Missing Not At Random Data. NeurIPS Aude Sportisse, Claire Boyer, Julie Josse
2020	J	`jnl`	Imputation and low-rank estimation with Missing Not At Random data. Stat. Comput. Aude Sportisse, Claire Boyer, Julie Josse
2020	A*	`conf`	Missing Data Imputation using Optimal Transport. ICML Boris Muzellec, Julie Josse, Claire Boyer, Marco Cuturi
2020	J	`jnl`	Missing Data Imputation using Optimal Transport. CoRR Boris Muzellec, Julie Josse, Claire Boyer, Marco Cuturi
2020	J	`jnl`	Sampling Rates for 𝓁 CoRR Maximilian März, Claire Boyer, Jonas Kahn, Pierre Weiss
2019	J	`jnl`	On Representer Theorems and Convex Regularization. SIAM J. Optim. Claire Boyer, Antonin Chambolle, Yohann de Castro, Vincent Duval, Frédéric de Gournay, Pierre Weiss
2018	J	`jnl`	Accelerated proximal boosting. CoRR Erwan Fouillen, Claire Boyer, Maxime Sangnier
2018	J	`jnl`	Convex Regularization and Representer Theorems. CoRR Claire Boyer, Antonin Chambolle, Yohann de Castro, Vincent Duval, Frédéric de Gournay, Pierre Weiss
2018	J	`jnl`	Imputation and low-rank estimation with Missing Non At Random data. CoRR Aude Sportisse, Claire Boyer, Julie Josse
2018	J	`jnl`	On Representer Theorems and Convex Regularization. CoRR Claire Boyer, Antonin Chambolle, Yohann de Castro, Vincent Duval, Frédéric de Gournay, Pierre Weiss
2018	J	`jnl`	On oracle-type local recovery guarantees in compressed sensing. CoRR Ben Adcock, Claire Boyer, Simone Brugiapaglia
2016	J	`jnl`	Adapting to unknown noise level in sparse deconvolution. CoRR Claire Boyer, Yohann de Castro, Joseph Salmon
2016	J	`jnl`	An Analysis of Block Sampling Strategies in Compressed Sensing. IEEE Trans. Inf. Theory Jérémie Bigot, Claire Boyer, Pierre Weiss
2016	J	`jnl`	On the Generation of Sampling Schemes for Magnetic Resonance Imaging. SIAM J. Imaging Sci. Claire Boyer, Nicolas Chauffert, Philippe Ciuciu, Jonas Kahn, Pierre Weiss
2015	J	`jnl`	Compressed sensing with structured sparsity and structured acquisition. CoRR Claire Boyer, Jérémie Bigot, Pierre Weiss
2014	J	`jnl`	An Algorithm for Variable Density Sampling with Block-Constrained Acquisition. SIAM J. Imaging Sci. Claire Boyer, Pierre Weiss, Jérémie Bigot
2013	J	`jnl`	An algorithm for variable density sampling with block-constrained acquisition. CoRR Claire Boyer, Pierre Weiss, Jérémie Bigot
2013	J	`jnl`	An analysis of block sampling strategies in compressed sensing CoRR Jérémie Bigot, Claire Boyer, Pierre Weiss
2012	—	`conf`	HYR ISBI Claire Boyer, Philippe Ciuciu, Pierre Weiss, Sébastien Mériaux