Claire Boyer
Claire Boyer
Sorbonne University
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An analysis of block sampling strategies in compressed sensing
J Bigot, C Boyer, P Weiss
IEEE transactions on information theory 62 (4), 2125-2139, 2016
Compressed sensing with structured sparsity and structured acquisition
C Boyer, J Bigot, P Weiss
Applied and Computational Harmonic Analysis 46 (2), 312-350, 2019
On the generation of sampling schemes for magnetic resonance imaging
C Boyer, N Chauffert, P Ciuciu, J Kahn, P Weiss
SIAM Journal on Imaging Sciences 9 (4), 2039-2072, 2016
On representer theorems and convex regularization
C Boyer, A Chambolle, YD Castro, V Duval, F De Gournay, P Weiss
SIAM Journal on Optimization 29 (2), 1260-1281, 2019
An algorithm for variable density sampling with block-constrained acquisition
C Boyer, P Weiss, J Bigot
SIAM Journal on Imaging Sciences 7 (2), 1080-1107, 2014
HYR2PICS: Hybrid regularized reconstruction for combined parallel imaging and compressive sensing in MRI
C Boyer, P Ciuciu, P Weiss, S Mériaux
2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 66-69, 2012
Imputation and low-rank estimation with Missing Not At Random data
A Sportisse, C Boyer, J Josse
Statistics and Computing 30 (6), 1629-1643, 2020
Adapting to unknown noise level in sparse deconvolution
C Boyer, Y De Castro, J Salmon
Information and Inference: A Journal of the IMA 6 (3), 310-348, 2017
On oracle-type local recovery guarantees in compressed sensing
B Adcock, C Boyer, S Brugiapaglia
Information and Inference: A Journal of the IMA 10 (1), 1-49, 2021
Missing Data Imputation using Optimal Transport
B Muzellec, J Josse, C Boyer, M Cuturi
International Conference on Machine Learning, 7130-7140, 2020
Estimation and imputation in probabilistic principal component analysis with missing not at random data
A Sportisse, C Boyer, J Josses
Advances in Neural Information Processing Systems 33, 2020
Accelerated proximal boosting
E Fouillen, C Boyer, M Sangnier
Robust Lasso-Zero for sparse corruption and model selection with missing covariates
P Descloux, C Boyer, J Josse, A Sportisse, S Sardy
arXiv preprint arXiv:2005.05628, 2020
Debiasing Averaged Stochastic Gradient Descent to handle missing values
A Sportisse, C Boyer, A Dieuleveut, J Josses
Advances in Neural Information Processing Systems 33, 2020
Sur la génération de schémas d'échantillonnage compressé en IRM
P Weiss, N Chauffert, C Boyer, J Kahn, P Ciuciu
GRETSI, 4, 2015
Block-constrained compressed sensing
C Boyer
Université Paul Sabatier, 2015
Fast incremental expectation-maximization algorithm:√ N iterations for an epsilon-stationary point?
G Fort, E Moulines, P Gach
An ensemble model based on early predictors to forecast COVID-19 healthcare demand in France
J Paireau, A Andronico, N Hozé, M Layan, P Crepey, A Roumagnac, ...
On the asymptotic rate of convergence of Stochastic Newton algorithms and their Weighted Averaged versions
C Boyer, A Godichon-Baggioni
arXiv preprint arXiv:2011.09706, 2020
Analyzing the tree-layer structure of Deep Forests
L Arnould, C Boyer, E Scornet
arXiv preprint arXiv:2010.15690, 2020
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