Stochastic Subsampling for Factorizing Huge Matrices

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Stochastic Subsampling for Factorizing Huge Matrices

19 January 2017

Bertrand Thirion

Gaël Varoquaux

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Papers citing "Stochastic Subsampling for Factorizing Huge Matrices"

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Title
Stochastic regularized majorization-minimization with weakly convex and multi-convex surrogates Hanbaek Lyu 29 3 0 05 Jan 2022
Joint Majorization-Minimization for Nonnegative Matrix Factorization with the $β$ -divergence Arthur Marmin J. H. D. M. Goulart Cédric Févotte 86 10 0 29 Jun 2021
Sparse Quantized Spectral Clustering Zhenyu Liao Romain Couillet Michael W. Mahoney MQ 72 16 0 03 Oct 2020
Online nonnegative CP-dictionary learning for Markovian data Hanbaek Lyu Christopher Strohmeier Deanna Needell 60 10 0 16 Sep 2020
Fine-grain atlases of functional modes for fMRI analysis Kamalaker Dadi Gaël Varoquaux Antonia Machlouzarides-Shalit Krzysztof J. Gorgolewski Demian Wassermann Bertrand Thirion A. Mensch AI4CE 84 95 0 05 Mar 2020
Online matrix factorization for Markovian data and applications to Network Dictionary Learning Hanbaek Lyu Deanna Needell Laura Balzano 71 27 0 05 Nov 2019
Extracting representations of cognition across neuroimaging studies improves brain decoding A. Mensch Julien Mairal Bertrand Thirion Gaël Varoquaux AI4CE 89 16 0 17 Sep 2018
Compressed Dictionary Learning Karin Schnass Flávio C. A. Teixeira 60 5 0 02 May 2018
Learning Neural Representations of Human Cognition across Many fMRI Studies G. Flandin D. Handwerker Michael Hanke D. Keator Thomas E. Nichols AI4CE 61 45 0 31 Oct 2017