How Overparameterization works part1(Machine Learning)
The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing(arXiv) Author : Xingyu Xu, Yandi Shen, Yuejie Chi, Cong Ma Abstract : We propose ScaledGD(λ), a preconditioned gradient descent method to tackle the low-rank matrix sensing problem when the true rank is unknown, and when the matrix is possibly ill-conditioned. Using…
How Overparameterization works part1(Machine Learning) The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing(arXiv) Author : Xingyu Xu, Yandi Shen, Yuejie Chi, Cong Ma Abstract : We propose ScaledGD(λ), a preconditioned gradient descent method to tackle the low-rank matrix sensing problem when the true rank is unknown, and when the matrix is possibly ill-conditioned. Using… deep-learning
Overparameterization work part1Machine Learning Power Preconditioning Overparameterized LowRank Matrix SensingarXiv Author Xingyu Xu Yandi Shen Yuejie Chi Cong Abstract propose ScaledGDλ preconditioned gradient descent method tackle lowrank matrix sensing problem true rank unknown matrix possibly illconditioned Using… deeplearning