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Mathieu Blondel
Mathieu Blondel
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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
680692011
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
23882013
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
4572017
Duchesnay
F Pedregosa, G Varoquaux, A Gramfort, V Michel, B Thirion, O Grisel, ...
E.: Scikit-learn: Machine learning in Python. JMLR 12, 2825-2830, 2011
3802011
Higher-order factorization machines
M Blondel, A Fujino, N Ueda, M Ishihata
Advances in Neural Information Processing Systems 29, 2016
1932016
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
1672018
Smooth and sparse optimal transport
M Blondel, V Seguy, A Rolet
Proceedings of the Twenty-First International Conference on Artificial …, 2018
1372018
Differentiable dynamic programming for structured prediction and attention
A Mensch, M Blondel
Proceedings of the 35th International Conference on Machine Learning (ICML …, 2018
1262018
Learning with differentiable pertubed optimizers
Q Berthet, M Blondel, O Teboul, M Cuturi, JP Vert, F Bach
Advances in neural information processing systems 33, 9508-9519, 2020
1122020
SparseMAP: Differentiable sparse structured inference
V Niculae, AFT Martins, M Blondel, C Cardie
Proceedings of the 35th International Conference on Machine Learning (ICML …, 2018
1102018
A regularized framework for sparse and structured neural attention
V Niculae, M Blondel
Advances in neural information processing systems 30, 2017
1022017
Fast differentiable sorting and ranking
M Blondel, O Teboul, Q Berthet, J Djolonga
International Conference on Machine Learning, 950-959, 2020
1002020
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
942016
Block coordinate descent algorithms for large-scale sparse multiclass classification
M Blondel, K Seki, K Uehara
Machine Learning 93 (1), 31-52, 2013
702013
Learning with Fenchel-Young losses
M Blondel, AFT Martins, V Niculae
arXiv preprint arXiv:1901.02324, 2019
682019
Efficient and modular implicit differentiation
M Blondel, Q Berthet, M Cuturi, R Frostig, S Hoyer, F Llinares-López, ...
Advances in neural information processing systems, 2021
622021
A ranking approach to genomic selection
M Blondel, A Onogi, H Iwata, N Ueda
PloS one 10 (6), e0128570, 2015
512015
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
452015
Convex factorization machines
M Blondel, A Fujino, N Ueda
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015
422015
Implicit differentiation of lasso-type models for hyperparameter optimization
Q Bertrand, Q Klopfenstein, M Blondel, S Vaiter, A Gramfort, J Salmon
International Conference on Machine Learning, 810-821, 2020
392020
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