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Implicit differentiation of Lasso-type models for hyperparameter optimization.

Q. Bertrand, Q. Klopfenstein, M. Blondel, S. Vaiter, A. Gramfort, and J. Salmon. ICML, volume 119 of Proceedings of Machine Learning Research, page 810-821. PMLR, (2020)

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Alexander Salmon

Jago Salmon

Ricardo Salmon

Eruchim Salmon Gordin

Susanne Salmon-Alt

Other publications of authors with the same name

Oracle inequalities and minimax rates for non-local means and related adaptive kernel-based methodsE. Arias-Castro, J. Salmon, and R. Willett. CoRR, (2011)Local linear convergence of proximal coordinate descent algorithm.Q. Klopfenstein, Q. Bertrand, A. Gramfort, J. Salmon, and S. Vaiter. Optim. Lett., 18 (1): 135-154 (January 2024)Integer Programming on the Junction Tree Polytope for Influence Diagrams.A. Parmentier, V. Cohen, V. Leclère, G. Obozinski, and J. Salmon. INFORMS J. Optim., 2 (3): 209-228 (July 2020)Improve learning combining crowdsourced labels by weighting Areas Under the Margin.T. Lefort, B. Charlier, A. Joly, and J. Salmon. CoRR, (2022)Probabilistic low-rank matrix completion on finite alphabets.J. Lafond, O. Klopp, E. Moulines, and J. Salmon. NIPS, page 1727-1735. (2014)Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso.Q. Bertrand, M. Massias, A. Gramfort, and J. Salmon. NeurIPS, page 3961-3972. (2019)Pl@ntNet-300K: a plant image dataset with high label ambiguity and a long-tailed distribution.C. Garcin, A. Joly, P. Bonnet, A. Affouard, J. Lombardo, M. Chouet, M. Servajean, T. Lorieul, and J. Salmon. NeurIPS Datasets and Benchmarks, (2021)Benchopt: Reproducible, efficient and collaborative optimization benchmarks.T. Moreau, M. Massias, A. Gramfort, P. Ablin, P. Bannier, B. Charlier, M. Dagréou, T. la Tour, G. Durif, C. Dantas and 11 other author(s). NeurIPS, (2022)Optimal Mini-Batch and Step Sizes for SAGA.N. Gazagnadou, R. Gower, and J. Salmon. ICML, volume 97 of Proceedings of Machine Learning Research, page 2142-2150. PMLR, (2019)Screening rules for Lasso with non-convex Sparse Regularizers.A. Rakotomamonjy, G. Gasso, and J. Salmon. ICML, volume 97 of Proceedings of Machine Learning Research, page 5341-5350. PMLR, (2019)

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Disambiguation of "Salmon, Joseph"

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Implicit differentiation of Lasso-type models for hyperparameter optimization.

Please choose a person to relate this publication to

Alexander Salmon

Jago Salmon

Ricardo Salmon

Eruchim Salmon Gordin

Susanne Salmon-Alt

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Salmon, Joseph"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Implicit differentiation of Lasso-type models for hyperparameter optimization.

Please choose a person to relate this publication to

Alexander Salmon

Jago Salmon

Ricardo Salmon

Eruchim Salmon Gordin

Susanne Salmon-Alt

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

Implicit differentiation of Lasso-type models for hyperparameter optimization.