Claire Boyer

According to our database, Claire Boyer authored at least 27 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Correction: On the asymptotic rate of convergence of Stochastic Newton algorithms and their Weighted Averaged versions.

Claire Boyer, Antoine Godichon-Baggioni

Comput. Optim. Appl., March, 2024

Physics-informed machine learning as a kernel method.

Nathan Doumèche, Francis Bach, Claire Boyer, Gérard Biau

CoRR, 2024

2023

Sampling Rates for ℓ ¹-Synthesis.

Maximilian März, Claire Boyer, Jonas Kahn, Pierre Weiss

Found. Comput. Math., December, 2023

On the asymptotic rate of convergence of Stochastic Newton algorithms and their Weighted Averaged versions.

Claire Boyer, Antoine Godichon-Baggioni

Comput. Optim. Appl., April, 2023

Proximal boosting: Aggregating weak learners to minimize non-differentiable losses.

Erwan Fouillen, Claire Boyer, Maxime Sangnier

Neurocomputing, 2023

Naive imputation implicitly regularizes high-dimensional linear models.

Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet

Proceedings of the International Conference on Machine Learning, 2023

Sparse tree-based Initialization for Neural Networks.

Patrick Lutz, Ludovic Arnould, Claire Boyer, Erwan Scornet

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Is interpolation benign for random forest regression?

Ludovic Arnould, Claire Boyer, Erwan Scornet

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Minimax rate of consistency for linear models with missing values.

Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet

CoRR, 2022

Near-optimal rate of consistency for linear models with missing values.

Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet

Proceedings of the International Conference on Machine Learning, 2022

2021

Model-based Clustering with Missing Not At Random Data.

Aude Sportisse, Christophe Biernacki, Claire Boyer, Julie Josse, Matthieu Marbac Lourdelle, Gilles Celeux, Fabien Laporte

CoRR, 2021

Analyzing the tree-layer structure of Deep Forests.

Ludovic Arnould, Claire Boyer, Erwan Scornet

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Imputation and low-rank estimation with Missing Not At Random data.

Aude Sportisse, Claire Boyer, Julie Josse

Stat. Comput., 2020

Estimation and Imputation in Probabilistic Principal Component Analysis with Missing Not At Random Data.

Aude Sportisse, Claire Boyer, Julie Josse

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Debiasing Averaged Stochastic Gradient Descent to handle missing values.

Aude Sportisse, Claire Boyer, Aymeric Dieuleveut, Julie Josse

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Missing Data Imputation using Optimal Transport.

Boris Muzellec, Julie Josse, Claire Boyer, Marco Cuturi

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

On Representer Theorems and Convex Regularization.

Claire Boyer, Antonin Chambolle, Yohann de Castro, Vincent Duval, Frédéric de Gournay, Pierre Weiss

SIAM J. Optim., 2019

2018

Imputation and low-rank estimation with Missing Non At Random data.

Aude Sportisse, Claire Boyer, Julie Josse

CoRR, 2018

Convex Regularization and Representer Theorems.

Claire Boyer, Antonin Chambolle, Yohann de Castro, Vincent Duval, Frédéric de Gournay, Pierre Weiss

CoRR, 2018

Accelerated proximal boosting.

Erwan Fouillen, Claire Boyer, Maxime Sangnier

CoRR, 2018

On oracle-type local recovery guarantees in compressed sensing.

Ben Adcock, Claire Boyer, Simone Brugiapaglia

CoRR, 2018

2016

An Analysis of Block Sampling Strategies in Compressed Sensing.

Jérémie Bigot, Claire Boyer, Pierre Weiss

IEEE Trans. Inf. Theory, 2016

On the Generation of Sampling Schemes for Magnetic Resonance Imaging.

Claire Boyer, Nicolas Chauffert, Philippe Ciuciu, Jonas Kahn, Pierre Weiss

SIAM J. Imaging Sci., 2016

Adapting to unknown noise level in sparse deconvolution.

Claire Boyer, Yohann de Castro, Joseph Salmon

CoRR, 2016

2015

Compressed sensing with structured sparsity and structured acquisition.

Claire Boyer, Jérémie Bigot, Pierre Weiss

CoRR, 2015

2014

An Algorithm for Variable Density Sampling with Block-Constrained Acquisition.

Claire Boyer, Pierre Weiss, Jérémie Bigot

SIAM J. Imaging Sci., 2014

2012

HYR²PICS: Hybrid regularized reconstruction for combined parallel imaging and compressive sensing in MRI.

Claire Boyer, Philippe Ciuciu, Pierre Weiss, Sébastien Mériaux

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012