Low-Rank Gradient Descent

Article Properties
Cite
Cosson, Romain, et al. “Low-Rank Gradient Descent”. IEEE Open Journal of Control Systems, vol. 2, 2023, pp. 380-95, https://doi.org/10.1109/ojcsys.2023.3315088.
Cosson, R., Jadbabaie, A., Makur, A., Reisizadeh, A., & Shah, D. (2023). Low-Rank Gradient Descent. IEEE Open Journal of Control Systems, 2, 380-395. https://doi.org/10.1109/ojcsys.2023.3315088
Cosson R, Jadbabaie A, Makur A, Reisizadeh A, Shah D. Low-Rank Gradient Descent. IEEE Open Journal of Control Systems. 2023;2:380-95.
Journal Categories
Technology
Mechanical engineering and machinery
Technology
Mechanical engineering and machinery
Control engineering systems
Automatic machinery (General)
Refrences
Title Journal Journal Categories Citations Publication Date
Optimal distributed online prediction using mini-batches 2012
Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude 2012
Adaptive subgradient methods for online learning and stochastic optimization 2011
A method of solving a convex programming problem with convergence rate $O(\frac{1}{k^{2}})$ 1983
Analytic insights into structure and rank of neural network hessian maps 2021