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Landmark-Based Ensemble Learning with Random Fourier Features and Gradient Boosting.

L. Gautheron, P. Germain, A. Habrard, G. Metzler, E. Morvant, M. Sebban, and V. Zantedeschi. ECML/PKDD (3), volume 12459 of Lecture Notes in Computer Science, page 141-157. Springer, (2020)

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Germain Renouard

Germain Lemasson

Thomas Germain

Germain Faure

Germain Nyada

Other publications of authors with the same name

A Greedy Algorithm for Building Compact Binary Activated Neural Networks.B. Leblanc, and P. Germain. CoRR, (2022)PAC-Bayesian Learning of Aggregated Binary Activated Neural Networks with Probabilities over Representations.L. Fortier-Dubois, B. Leblanc, G. Letarte, F. Laviolette, and P. Germain. Canadian AI, Canadian Artificial Intelligence Association, (2023)A PAC-Bayes Risk Bound for General Loss Functions.P. Germain, A. Lacasse, F. Laviolette, and M. Marchand. NIPS, page 449-456. MIT Press, (2006)A PAC-Bayes Sample-compression Approach to Kernel Methods.P. Germain, A. Lacoste, F. Laviolette, M. Marchand, and S. Shanian. ICML, page 297-304. Omnipress, (2011)Landmark-Based Ensemble Learning with Random Fourier Features and Gradient Boosting.L. Gautheron, P. Germain, A. Habrard, G. Metzler, E. Morvant, M. Sebban, and V. Zantedeschi. ECML/PKDD (3), volume 12459 of Lecture Notes in Computer Science, page 141-157. Springer, (2020)PAC-Bayesian Theory for Transductive Learning.L. Bégin, P. Germain, F. Laviolette, and J. Roy. AISTATS, volume 33 of JMLR Workshop and Conference Proceedings, page 105-113. JMLR.org, (2014)Improved PAC-Bayesian Bounds for Linear Regression.V. Shalaeva, A. Esfahani, P. Germain, and M. Petreczky. CoRR, (2019)PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier.A. Lacasse, F. Laviolette, M. Marchand, P. Germain, and N. Usunier. NIPS, page 769-776. MIT Press, (2006)PAC-Bayesian Theory Meets Bayesian Inference.P. Germain, F. Bach, A. Lacoste, and S. Lacoste-Julien. NIPS, page 1876-1884. (2016)Target to Source Coordinate-Wise Adaptation of Pre-trained Models.L. Zhang, P. Germain, Y. Kessaci, and C. Biernacki. ECML/PKDD (1), volume 12457 of Lecture Notes in Computer Science, page 378-394. Springer, (2020)

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Disambiguation of "Germain, Pascal"

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Landmark-Based Ensemble Learning with Random Fourier Features and Gradient Boosting.

Please choose a person to relate this publication to

Germain Renouard

Germain Lemasson

Thomas Germain

Germain Faure

Germain Nyada

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Germain, Pascal"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Landmark-Based Ensemble Learning with Random Fourier Features and Gradient Boosting.

Please choose a person to relate this publication to

Germain Renouard

Germain Lemasson

Thomas Germain

Germain Faure

Germain Nyada

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
Harvard
MSOffice XML

Landmark-Based Ensemble Learning with Random Fourier Features and Gradient Boosting.