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ORCIDClaire Boyer
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2020 – today
- 2024
[j10]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): 705-706 (2024)- [j9]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): 135 (2024) - [c11]Nathan Doumèche, Francis Bach, Gérard Biau, Claire Boyer:
Physics-informed machine learning as a kernel method. COLT 2024: 1399-1450 - [c10]Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet:
Random features models: a way to study the success of naive imputation. ICML 2024 - [i18]Nathan Doumèche, Francis Bach, Claire Boyer, Gérard Biau:
Physics-informed machine learning as a kernel method. CoRR abs/2402.07514 (2024) - [i17]Nathan Doumèche, Francis Bach, Gérard Biau, Claire Boyer:
Physics-informed kernel learning. CoRR abs/2409.13786 (2024) - [i16]Pierre Marion, Raphaël Berthier, Gérard Biau, Claire Boyer:
Attention layers provably solve single-location regression. CoRR abs/2410.01537 (2024) - 2023
- [j8]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): 921-972 (2023) - [j7]Maximilian März, Claire Boyer, Jonas Kahn, Pierre Weiss:
Sampling Rates for ℓ 1-Synthesis. Found. Comput. Math. 23(6): 2089-2150 (2023) - [j6]Erwan Fouillen, Claire Boyer, Maxime Sangnier:
Proximal boosting: Aggregating weak learners to minimize non-differentiable losses. Neurocomputing 520: 301-319 (2023) - [c9]Ludovic Arnould, Claire Boyer, Erwan Scornet:
Is interpolation benign for random forest regression? AISTATS 2023: 5493-5548 - [c8]Patrick Lutz, Ludovic Arnould, Claire Boyer, Erwan Scornet:
Sparse tree-based Initialization for Neural Networks. ICLR 2023 - [c7]Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet:
Naive imputation implicitly regularizes high-dimensional linear models. ICML 2023: 1320-1340 - 2022
- [c6]Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet:
Near-optimal rate of consistency for linear models with missing values. ICML 2022: 1211-1243 - [i15]Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet:
Minimax rate of consistency for linear models with missing values. CoRR abs/2202.01463 (2022) - [i14]Patrick Lutz, Ludovic Arnould, Claire Boyer, Erwan Scornet:
Sparse tree-based initialization for neural networks. CoRR abs/2209.15283 (2022) - 2021
- [c5]Ludovic Arnould, Claire Boyer, Erwan Scornet:
Analyzing the tree-layer structure of Deep Forests. ICML 2021: 342-350 - [i13]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 abs/2112.10425 (2021) - 2020
- [j5]Aude Sportisse, Claire Boyer, Julie Josse:
Imputation and low-rank estimation with Missing Not At Random data. Stat. Comput. 30(6): 1629-1643 (2020) - [c4]Boris Muzellec, Julie Josse, Claire Boyer, Marco Cuturi:
Missing Data Imputation using Optimal Transport. ICML 2020: 7130-7140 - [c3]Aude Sportisse, Claire Boyer, Aymeric Dieuleveut, Julie Josse:
Debiasing Averaged Stochastic Gradient Descent to handle missing values. NeurIPS 2020 - [c2]Aude Sportisse, Claire Boyer, Julie Josse:
Estimation and Imputation in Probabilistic Principal Component Analysis with Missing Not At Random Data. NeurIPS 2020 - [i12]Boris Muzellec, Julie Josse, Claire Boyer, Marco Cuturi:
Missing Data Imputation using Optimal Transport. CoRR abs/2002.03860 (2020) - [i11]Maximilian März, Claire Boyer, Jonas Kahn, Pierre Weiss:
Sampling Rates for 𝓁1-Synthesis. CoRR abs/2004.07175 (2020) - [i10]Ludovic Arnould, Claire Boyer, Erwan Scornet:
Analyzing the tree-layer structure of Deep Forests. CoRR abs/2010.15690 (2020)
2010 – 2019
- 2019
- [j4]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): 1260-1281 (2019) - 2018
- [i9]Ben Adcock, Claire Boyer, Simone Brugiapaglia:
On oracle-type local recovery guarantees in compressed sensing. CoRR abs/1806.03789 (2018) - [i8]Claire Boyer, Antonin Chambolle, Yohann de Castro, Vincent Duval, Frédéric de Gournay, Pierre Weiss:
On Representer Theorems and Convex Regularization. CoRR abs/1806.09810 (2018) - [i7]Erwan Fouillen, Claire Boyer, Maxime Sangnier:
Accelerated proximal boosting. CoRR abs/1808.09670 (2018) - [i6]Claire Boyer, Antonin Chambolle, Yohann de Castro, Vincent Duval, Frédéric de Gournay, Pierre Weiss:
Convex Regularization and Representer Theorems. CoRR abs/1812.04355 (2018) - [i5]Aude Sportisse, Claire Boyer, Julie Josse:
Imputation and low-rank estimation with Missing Non At Random data. CoRR abs/1812.11409 (2018) - 2016
- [j3]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): 2039-2072 (2016) - [j2]Jérémie Bigot, Claire Boyer, Pierre Weiss:
An Analysis of Block Sampling Strategies in Compressed Sensing. IEEE Trans. Inf. Theory 62(4): 2125-2139 (2016) - [i4]Claire Boyer, Yohann de Castro, Joseph Salmon:
Adapting to unknown noise level in sparse deconvolution. CoRR abs/1606.04760 (2016) - 2015
- [i3]Claire Boyer, Jérémie Bigot, Pierre Weiss:
Compressed sensing with structured sparsity and structured acquisition. CoRR abs/1505.01619 (2015) - 2014
- [j1]Claire Boyer, Pierre Weiss, Jérémie Bigot:
An Algorithm for Variable Density Sampling with Block-Constrained Acquisition. SIAM J. Imaging Sci. 7(2): 1080-1107 (2014) - 2013
- [i2]Jérémie Bigot, Claire Boyer, Pierre Weiss:
An analysis of block sampling strategies in compressed sensing. CoRR abs/1305.4446 (2013) - [i1]Claire Boyer, Pierre Weiss, Jérémie Bigot:
An algorithm for variable density sampling with block-constrained acquisition. CoRR abs/1310.4393 (2013) - 2012
- [c1]Claire Boyer, Philippe Ciuciu, Pierre Weiss, Sébastien Mériaux:
HYR2PICS: Hybrid regularized reconstruction for combined parallel imaging and compressive sensing in MRI. ISBI 2012: 66-69
Coauthor Index
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