Exponentially convergent stochastic k-PCA without variance reduction

3 April 2019

Papers citing "Exponentially convergent stochastic k-PCA without variance reduction"

8 / 8 papers shown

Title
The Edge of Orthogonality: A Simple View of What Makes BYOL Tick Pierre Harvey Richemond Allison C. Tam Yunhao Tang Florian Strub Bilal Piot Felix Hill SSL 33 9 0 09 Feb 2023
A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces Charline Le Lan Joshua Greaves Jesse Farebrother Mark Rowland Fabian Pedregosa Rishabh Agarwal Marc G. Bellemare 52 8 0 08 Dec 2022
Personalized PCA: Decoupling Shared and Unique Features Naichen Shi Raed Al Kontar 32 14 0 17 Jul 2022
Self-consistent Gradient-like Eigen Decomposition in Solving Schrödinger Equations Xihan Li Xiang Chen Rasul Tutunov Haitham Bou-Ammar Lei Wang Jun Wang 30 0 0 03 Feb 2022
FAST-PCA: A Fast and Exact Algorithm for Distributed Principal Component Analysis Arpita Gang W. Bajwa 60 17 0 27 Aug 2021
EigenGame: PCA as a Nash Equilibrium I. Gemp Brian McWilliams Claire Vernade T. Graepel 32 46 0 01 Oct 2020
Regularized linear autoencoders recover the principal components, eventually Xuchan Bao James Lucas Sushant Sachdeva Roger C. Grosse 47 29 0 13 Jul 2020
An Implicit Form of Krasulina's k-PCA Update without the Orthonormality Constraint Ehsan Amid Manfred K. Warmuth 23 11 0 11 Sep 2019