Mairal, R Jenatton, G Obozinski, and F Bach Convex and network flow optimization for structured sparsity Journal of Machine Learning Research ( JMLR)
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[PDF] Julien Mairal –
Mairal, R Jenatton, G Obozinski, and F Bach Convex and network flow optimization for structured sparsity Journal of Machine Learning Research ( JMLR)
[PDF] HIGHLIGHTS - Laboratoire Jean Kuntzmann
Julien Mairal is a research scientist at Inria and leader of the Thoth team at More recently, Julien Mairal got interested in mathematical optimization in order to
[PDF] Séminaire mardi 06/04/2021 par Julien Mairal - ENS Rennes
26 jan 2021 · SÉMINAIRE #9 MARDI 06/04/2021 PAR JULIEN MAIRAL le 6 avril 2021 ENS Rennes Intervention de , chercheur dans l'équipe LEAR de
[PDF] Louise Benoˆıt, Julien Mairal, Francis Bach and Jean Ponce ´Ecole
Sparse Image Representation with Epitomes Louise Benoˆıt, Julien Mairal, Francis Bach and Jean Ponce ´Ecole Normale Supérieure, INRIA, Paris, France 1
[PDF] Stochastic Composite Optimization: Variance - Criteo AI Lab
variants of SGD for the general stochastic case variance-reduced algorithms such as SVRG, SAGA, MISO, SARAH, SDCA, Katyusha Julien Mairal Stochastic
[PDF] A Kernel Perspective for Regularizing Deep Neural Networks - The
LeCun's tutorial: Julien Mairal A Kernel Perspective for Regularizing NN 7/1 Page 8 Convolutional Neural Networks Picture from Olah et al [2017]: Julien
[PDF] Proximal Methods for Hierarchical Sparse Coding - Journal of
Julien Mairal is now with the Statistics Department of the University of California at Berkeley When this work was performed all authors were affiliated to INRIA -
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