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Speeding-Up Model-Selection in Graphnet via Early-Stopping and Univariate Feature-Screening.

E. Dohmatob, M. Eickenberg, B. Thirion, and G. Varoquaux. PRNI, page 17-20. IEEE Computer Society, (2015)

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Other publications of authors with the same name

Distributionally Robust Reinforcement Learning.E. Smirnova, E. Dohmatob, and J. Mary. CoRR, (2019)Distributionally Robust Counterfactual Risk Minimization.L. Faury, U. Tanielian, F. Vasile, E. Smirnova, and E. Dohmatob. CoRR, (2019)Multivariate hurst exponent estimation in FMRI. Application to brain decoding of perceptual learning.H. Pelle, P. Ciuciu, M. Rahim, E. Dohmatob, P. Abry, and V. van Wassenhove. ISBI, page 996-1000. IEEE, (2016)Grouping Total Variation and Sparsity: Statistical Learning with Segmenting Penalties.M. Eickenberg, E. Dohmatob, B. Thirion, and G. Varoquaux. MICCAI (1), volume 9349 of Lecture Notes in Computer Science, page 685-693. Springer, (2015)On the Convergence of Approximate and Regularized Policy Iteration Schemes.E. Smirnova, and E. Dohmatob. CoRR, (2019)Speeding-Up Model-Selection in Graphnet via Early-Stopping and Univariate Feature-Screening.E. Dohmatob, M. Eickenberg, B. Thirion, and G. Varoquaux. PRNI, page 17-20. IEEE Computer Society, (2015)Generalized No Free Lunch Theorem for Adversarial Robustness.E. Dohmatob. ICML, volume 97 of Proceedings of Machine Learning Research, page 1646-1654. PMLR, (2019)Limitations of adversarial robustness: strong No Free Lunch Theorem.E. Dohmatob. CoRR, (2018)Learning brain regions via large-scale online structured sparse dictionary learning.E. Dohmatob, A. Mensch, G. Varoquaux, and B. Thirion. NIPS, page 4610-4618. (2016)Local Q-linear convergence and finite-time active set identification of ADMM on a class of penalized regression problems.E. Dohmatob, M. Eickenberg, B. Thirion, and G. Varoquaux. ICASSP, page 4752-4756. IEEE, (2016)

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Speeding-Up Model-Selection in Graphnet via Early-Stopping and Univariate Feature-Screening.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Speeding-Up Model-Selection in Graphnet via Early-Stopping and Univariate Feature-Screening.

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Speeding-Up Model-Selection in Graphnet via Early-Stopping and Univariate Feature-Screening.