Working with Low-Rank Matrix Sensing part1(Machine Learning)
Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points(arXiv) Author : Ziye Ma, Igor Molybog, Javad Lavaei, Somayeh Sojoudi Abstract : This paper studies the role of over-parametrization in solving non-convex optimization problems. The focus is on the important class of low-rank matrix sensing…
Working with Low-Rank Matrix Sensing part1(Machine Learning) Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points(arXiv) Author : Ziye Ma, Igor Molybog, Javad Lavaei, Somayeh Sojoudi Abstract : This paper studies the role of over-parametrization in solving non-convex optimization problems. The focus is on the important class of low-rank matrix sensing… deep-learning
Working LowRank Matrix Sensing part1Machine Learning Overparametrization via Lifting Lowrank Matrix Sensing Conversion Spurious Solutions Strict Saddle PointsarXiv Author Ziye Igor Molybog Javad Lavaei Somayeh Sojoudi Abstract paper study role overparametrization solving nonconvex optimization problem focus important class lowrank matrix sensing… deeplearning