Missing data imputation using optimal transport B Muzellec, J Josse, C Boyer, M Cuturi
International Conference on Machine Learning, 7130-7140, 2020
180 2020 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
125 2019 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
113 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
92 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
80 2016 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
67 2020 Estimation and imputation in probabilistic principal component analysis with missing not at random data A Sportisse, C Boyer, J Josse
Advances in Neural Information Processing Systems 33, 7067-7077, 2020
45 2020 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
43 2014 On the asymptotic rate of convergence of stochastic newton algorithms and their weighted averaged versions C Boyer, A Godichon-Baggioni
Computational Optimization and Applications 84 (3), 921-972, 2023
28 2023 HYR2 PICS: 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
24 2012 Convergence and error analysis of PINNs N Doumèche, G Biau, C Boyer
arXiv preprint arXiv:2305.01240, 2023
23 2023 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
20 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
17 2021 Debiasing averaged stochastic gradient descent to handle missing values A Sportisse, C Boyer, A Dieuleveut, J Josse
Advances in Neural Information Processing Systems 33, 12957-12967, 2020
17 2020 Analyzing the tree-layer structure of deep forests L Arnould, C Boyer, E Scornet
International Conference on Machine Learning, 342-350, 2021
15 2021 Near-optimal rate of consistency for linear models with missing values A Ayme, C Boyer, A Dieuleveut, E Scornet
International Conference on Machine Learning, 1211-1243, 2022
11 2022 Yohann De Castro, and Joseph Salmon C Boyer
Adapting to unknown noise level in sparse deconvolution. Information and …, 2017
11 2017 Sampling Rates for M März, C Boyer, J Kahn, P Weiss
Foundations of Computational Mathematics 23 (6), 2089-2150, 2023
10 2023 Robust Lasso‐Zero for sparse corruption and model selection with missing covariates P Descloux, C Boyer, J Josse, A Sportisse, S Sardy
Scandinavian Journal of Statistics 49 (4), 1605-1635, 2022
10 2022 Is interpolation benign for random forest regression? L Arnould, C Boyer, E Scornet
International Conference on Artificial Intelligence and Statistics, 5493-5548, 2023
9 2023 