Exponentially convergent stochastic k-PCA without variance reduction

3 April 2019

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

16 / 16 papers shown

Title
Bootstrapped Representations in Reinforcement Learning Charline Le Lan Stephen Tu Mark Rowland Anna Harutyunyan Rishabh Agarwal Marc G. Bellemare Will Dabney OffRL OOD SSL 136 10 0 16 Jun 2023
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 82 11 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 110 8 0 08 Dec 2022
Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering Elise van der Pol I. Gemp Yoram Bachrach Richard Everett 75 0 0 29 Jul 2022
Personalized PCA: Decoupling Shared and Unique Features Naichen Shi Raed Al Kontar 96 14 0 17 Jul 2022
The Symmetric Generalized Eigenvalue Problem as a Nash Equilibrium I. Gemp Chen Chen Brian McWilliams 55 0 0 10 Jun 2022
Self-consistent Gradient-like Eigen Decomposition in Solving Schrödinger Equations Xihan Li Xiang Chen Rasul Tutunov Haitham Bou-Ammar Lei Wang Jun Wang 68 0 0 03 Feb 2022
Speeding up PCA with priming Bálint Máté Franccois Fleuret 54 0 0 08 Sep 2021
FAST-PCA: A Fast and Exact Algorithm for Distributed Principal Component Analysis Arpita Gang W. Bajwa 96 17 0 27 Aug 2021
EigenGame Unloaded: When playing games is better than optimizing I. Gemp Brian McWilliams Claire Vernade T. Graepel 67 13 0 08 Feb 2021
EigenGame: PCA as a Nash Equilibrium I. Gemp Brian McWilliams Claire Vernade T. Graepel 114 48 0 01 Oct 2020
Regularized linear autoencoders recover the principal components, eventually Xuchan Bao James Lucas Sushant Sachdeva Roger C. Grosse 103 30 0 13 Jul 2020
A General Framework for Analyzing Stochastic Dynamics in Learning Algorithms Chi-Ning Chou Juspreet Singh Sandhu Mien Brabeeba Wang Tiancheng Yu 60 4 0 11 Jun 2020
Scaling-up Distributed Processing of Data Streams for Machine Learning M. Nokleby Haroon Raja W. Bajwa 69 15 0 18 May 2020
Distributed Stochastic Algorithms for High-rate Streaming Principal Component Analysis Haroon Raja W. Bajwa 74 11 0 04 Jan 2020
An Implicit Form of Krasulina's k-PCA Update without the Orthonormality Constraint Ehsan Amid Manfred K. Warmuth 82 11 0 11 Sep 2019