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Two-way kernel matrix puncturing: towards resource-efficient PCA and
  spectral clustering
v1v2v3 (latest)

Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering

International Conference on Machine Learning (ICML), 2021
24 February 2021
Romain Couillet
Florent Chatelain
N. L. Bihan
ArXiv (abs)PDFHTML

Papers citing "Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering"

4 / 4 papers shown
Performance of Rank-One Tensor Approximation on Incomplete Data
Performance of Rank-One Tensor Approximation on Incomplete Data
Hugo Lebeau
341
0
0
10 Apr 2025
PCA-based Multi Task Learning: a Random Matrix Approach
PCA-based Multi Task Learning: a Random Matrix ApproachInternational Conference on Machine Learning (ICML), 2021
Malik Tiomoko
Romain Couillet
Frédéric Pascal
299
6
0
01 Nov 2021
Random matrices in service of ML footprint: ternary random features with
  no performance loss
Random matrices in service of ML footprint: ternary random features with no performance loss
Hafiz Tiomoko Ali
Zhenyu Liao
Romain Couillet
330
7
0
05 Oct 2021
Nishimori meets Bethe: a spectral method for node classification in
  sparse weighted graphs
Nishimori meets Bethe: a spectral method for node classification in sparse weighted graphsJournal of Statistical Mechanics: Theory and Experiment (JSTAT), 2021
Lorenzo DallÁmico
Romain Couillet
Nicolas M Tremblay
335
17
0
05 Mar 2021
1
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