Mathieu Blondel
Mathieu Blondel
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Title
Cited by
Cited by
Year
Scikit-learn: Machine learning in Python
F Pedregosa, G Varoquaux, A Gramfort, V Michel, B Thirion, O Grisel, ...
the Journal of machine Learning research 12, 2825-2830, 2011
323212011
API design for machine learning software: experiences from the scikit-learn project
L Buitinck, G Louppe, M Blondel, F Pedregosa, A Mueller, O Grisel, ...
arXiv preprint arXiv:1309.0238, 2013
9452013
Soft-DTW: a differentiable loss function for time-series
M Cuturi, M Blondel
Proceedings of the 34th International Conference on Machine Learning, 894--903, 2017
1332017
Higher-order factorization machines
M Blondel, A Fujino, N Ueda, M Ishihata
Advances in Neural Information Processing Systems, 3351-3359, 2016
892016
Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms
M Blondel, M Ishihata, A Fujino, N Ueda
Proceedings of the 33rd International Conference on Machine Learning, 850–858, 2016
682016
Large-scale optimal transport and mapping estimation
V Seguy, BB Damodaran, R Flamary, N Courty, A Rolet, M Blondel
International Conference on Learning Representations, 2018
662018
Scikit-learn: machine learning in Python. 2011
F Pedregosa, G Varoquaux, A Gramfort, V Michel, B Thirion, O Grisel, ...
Mach. Learn. Res 12, 2019
642019
Block coordinate descent algorithms for large-scale sparse multiclass classification
M Blondel, K Seki, K Uehara
Machine Learning 93 (1), 31-52, 2013
602013
SparseMAP: Differentiable sparse structured inference
V Niculae, AFT Martins, M Blondel, C Cardie
Proceedings of the 35th International Conference on Machine Learning (ICML†…, 2018
552018
A regularized framework for sparse and structured neural attention
V Niculae, M Blondel
Advances in neural information processing systems, 3338-3348, 2017
542017
Smooth and sparse optimal transport
M Blondel, V Seguy, A Rolet
Proceedings of the Twenty-First International Conference on Artificial†…, 2018
532018
Differentiable dynamic programming for structured prediction and attention
A Mensch, M Blondel
Proceedings of the 35th International Conference on Machine Learning (ICML†…, 2018
482018
A ranking approach to genomic selection
M Blondel, A Onogi, H Iwata, N Ueda
PloS one 10 (6), e0128570, 2015
332015
Convex factorization machines
M Blondel, A Fujino, N Ueda
Joint European Conference on Machine Learning and Knowledge Discovery in†…, 2015
312015
Online Passive-Aggressive Algorithms for Non-Negative Matrix Factorization and Completion
M Blondel, Y Kubo, N Ueda
Proceedings of the Seventeenth International Conference on Artificial†…, 2014
252014
Health Checkup and Telemedical Intervention Program for Preventive Medicine in Developing Countries: Verification Study
Y Nohara, E Kai, P Pratim, R Islam, A Ahmed, M Kuroda, S Inoue, ...
Journal of Medical Internet Research 17 (1), 2015
242015
Learning with Fenchel-Young losses
M Blondel, AFT Martins, V Niculae
arXiv preprint arXiv:1901.02324, 2019
182019
Learning classifiers with Fenchel-Young losses: Generalized entropies, margins, and algorithms
M Blondel, AFT Martins, V Niculae
Proceedings of the Twenty-Second International Conference on Artificial†…, 2018
182018
Blind Source Separation with Optimal Transport Non-negative Matrix Factorization
A Rolet, V Seguy, M Blondel, H Sawada
EURASIP Journal on Advances in Signal Processing, 2018
112018
Learning with differentiable perturbed optimizers
Q Berthet, M Blondel, O Teboul, M Cuturi, JP Vert, F Bach
arXiv preprint arXiv:2002.08676, 2020
92020
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