Papers citing 'An Implicit Form of Krasulina's k-PCA Update without the Orthonormality Constraint'

Title
A Novel Stochastic Gradient Descent Algorithm for Learning Principal SubspacesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Charline Le Lan Joshua Greaves Jesse Farebrother Mark Rowland Fabian Pedregosa Rishabh Agarwal Marc G. Bellemare 181 8 0 08 Dec 2022
Step-size Adaptation Using Exponentiated Gradient Updates Ehsan Amid Rohan Anil Christopher Fifty Manfred K. Warmuth 140 9 0 31 Jan 2022
LocoProp: Enhancing BackProp via Local Loss OptimizationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 Ehsan Amid Rohan Anil Manfred K. Warmuth ODL 122 21 0 11 Jun 2021
On the Optimality of the Oja's Algorithm for Online PCAStatistics and computing (Stat Comput), 2021 Xin Liang 177 11 0 31 Mar 2021
EigenGame: PCA as a Nash EquilibriumInternational Conference on Learning Representations (ICLR), 2020 I. Gemp Brian McWilliams Claire Vernade T. Graepel 309 54 0 01 Oct 2020
Distributed Stochastic Algorithms for High-rate Streaming Principal Component Analysis Haroon Raja W. Bajwa 180 11 0 04 Jan 2020