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Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion
  of Spurious Solutions to Strict Saddle Points

Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points

15 February 2023
Ziye Ma
Igor Molybog
Javad Lavaei
Somayeh Sojoudi
ArXivPDFHTML

Papers citing "Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points"

3 / 3 papers shown
Title
Absence of spurious solutions far from ground truth: A low-rank analysis
  with high-order losses
Absence of spurious solutions far from ground truth: A low-rank analysis with high-order losses
Ziye Ma
Ying Chen
Javad Lavaei
Somayeh Sojoudi
33
1
0
10 Mar 2024
Algorithmic Regularization in Tensor Optimization: Towards a Lifted
  Approach in Matrix Sensing
Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing
Ziye Ma
Javad Lavaei
Somayeh Sojoudi
45
2
0
24 Oct 2023
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
261
4,489
0
23 Jan 2020
1