Claire Boyer

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 31

Top Topics

Structured Sparsity

Compressed Sensing

Top Venues

SIAM J. Imaging Sci.

Publications

Aude Sportisse, Matthieu Marbac, Fabien Laporte, Gilles Celeux, Claire Boyer, Julie Josse, Christophe Biernacki
Model-based clustering with missing not at random data. Stat. Comput. 34 (4) (2024)
Claire Boyer, Antoine Godichon-Baggioni
Correction: On the asymptotic rate of convergence of Stochastic Newton algorithms and their Weighted Averaged versions. Comput. Optim. Appl. 87 (2) (2024)
Nathan Doumèche, Francis Bach, Claire Boyer, Gérard Biau
Physics-informed machine learning as a kernel method. CoRR (2024)
Nathan Doumèche, Francis Bach, Gérard Biau, Claire Boyer
Physics-informed machine learning as a kernel method. COLT (2024)
Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet
Naive imputation implicitly regularizes high-dimensional linear models. ICML (2023)
Ludovic Arnould, Claire Boyer, Erwan Scornet
Is interpolation benign for random forest regression? AISTATS (2023)
Maximilian März, Claire Boyer, Jonas Kahn, Pierre Weiss
-Synthesis. Found. Comput. Math. 23 (6) (2023)
Patrick Lutz, Ludovic Arnould, Claire Boyer, Erwan Scornet
Sparse tree-based Initialization for Neural Networks. ICLR (2023)
Erwan Fouillen, Claire Boyer, Maxime Sangnier
Proximal boosting: Aggregating weak learners to minimize non-differentiable losses. Neurocomputing 520 (2023)
Claire Boyer, Antoine Godichon-Baggioni
On the asymptotic rate of convergence of Stochastic Newton algorithms and their Weighted Averaged versions. Comput. Optim. Appl. 84 (3) (2023)
Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet
Minimax rate of consistency for linear models with missing values. CoRR (2022)
Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet
Near-optimal rate of consistency for linear models with missing values. ICML (2022)
Patrick Lutz, Ludovic Arnould, Claire Boyer, Erwan Scornet
Sparse tree-based initialization for neural networks. CoRR (2022)
Aude Sportisse, Christophe Biernacki, Claire Boyer, Julie Josse, Matthieu Marbac Lourdelle, Gilles Celeux, Fabien Laporte
Model-based Clustering with Missing Not At Random Data. CoRR (2021)
Ludovic Arnould, Claire Boyer, Erwan Scornet
Analyzing the tree-layer structure of Deep Forests. ICML (2021)
Maximilian März, Claire Boyer, Jonas Kahn, Pierre Weiss
-Synthesis. CoRR (2020)
Boris Muzellec, Julie Josse, Claire Boyer, Marco Cuturi
Missing Data Imputation using Optimal Transport. ICML (2020)
Boris Muzellec, Julie Josse, Claire Boyer, Marco Cuturi
Missing Data Imputation using Optimal Transport. CoRR (2020)
Aude Sportisse, Claire Boyer, Aymeric Dieuleveut, Julie Josse
Debiasing Averaged Stochastic Gradient Descent to handle missing values. NeurIPS (2020)
Aude Sportisse, Claire Boyer, Julie Josse
Estimation and Imputation in Probabilistic Principal Component Analysis with Missing Not At Random Data. NeurIPS (2020)
Ludovic Arnould, Claire Boyer, Erwan Scornet
Analyzing the tree-layer structure of Deep Forests. CoRR (2020)
Aude Sportisse, Claire Boyer, Julie Josse
Imputation and low-rank estimation with Missing Not At Random data. Stat. Comput. 30 (6) (2020)
Claire Boyer, Antonin Chambolle, Yohann de Castro, Vincent Duval, Frédéric de Gournay, Pierre Weiss
On Representer Theorems and Convex Regularization. SIAM J. Optim. 29 (2) (2019)
Aude Sportisse, Claire Boyer, Julie Josse
Imputation and low-rank estimation with Missing Non At Random data. CoRR (2018)
Claire Boyer, Antonin Chambolle, Yohann de Castro, Vincent Duval, Frédéric de Gournay, Pierre Weiss
On Representer Theorems and Convex Regularization. CoRR (2018)
Ben Adcock, Claire Boyer, Simone Brugiapaglia
On oracle-type local recovery guarantees in compressed sensing. CoRR (2018)
Claire Boyer, Antonin Chambolle, Yohann de Castro, Vincent Duval, Frédéric de Gournay, Pierre Weiss
Convex Regularization and Representer Theorems. CoRR (2018)
Erwan Fouillen, Claire Boyer, Maxime Sangnier
Accelerated proximal boosting. CoRR (2018)
Claire Boyer, Nicolas Chauffert, Philippe Ciuciu, Jonas Kahn, Pierre Weiss
On the Generation of Sampling Schemes for Magnetic Resonance Imaging. SIAM J. Imaging Sci. 9 (4) (2016)
Jérémie Bigot, Claire Boyer, Pierre Weiss
An Analysis of Block Sampling Strategies in Compressed Sensing. IEEE Trans. Inf. Theory 62 (4) (2016)
Claire Boyer, Yohann de Castro, Joseph Salmon
Adapting to unknown noise level in sparse deconvolution. CoRR (2016)
Claire Boyer, Jérémie Bigot, Pierre Weiss
Compressed sensing with structured sparsity and structured acquisition. CoRR (2015)
Claire Boyer, Pierre Weiss, Jérémie Bigot
An Algorithm for Variable Density Sampling with Block-Constrained Acquisition. SIAM J. Imaging Sci. 7 (2) (2014)
Claire Boyer, Pierre Weiss, Jérémie Bigot
An algorithm for variable density sampling with block-constrained acquisition. CoRR (2013)
Jérémie Bigot, Claire Boyer, Pierre Weiss
An analysis of block sampling strategies in compressed sensing CoRR (2013)
Claire Boyer, Philippe Ciuciu, Pierre Weiss, Sébastien Mériaux
PICS: Hybrid regularized reconstruction for combined parallel imaging and compressive sensing in MRI. ISBI (2012)