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Implicit regularization and solution uniqueness in over-parameterized
  matrix sensing

Implicit regularization and solution uniqueness in over-parameterized matrix sensing

6 June 2018
Kelly Geyer
Anastasios Kyrillidis
A. Kalev
ArXivPDFHTML

Papers citing "Implicit regularization and solution uniqueness in over-parameterized matrix sensing"

4 / 4 papers shown
Title
Rank-One Measurements of Low-Rank PSD Matrices Have Small Feasible Sets
Rank-One Measurements of Low-Rank PSD Matrices Have Small Feasible Sets
T. Roddenberry
Santiago Segarra
Anastasios Kyrillidis
21
0
0
17 Dec 2020
Implicit Regularization in Deep Learning May Not Be Explainable by Norms
Implicit Regularization in Deep Learning May Not Be Explainable by Norms
Noam Razin
Nadav Cohen
24
155
0
13 May 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
308
2,890
0
15 Sep 2016
Benefits of depth in neural networks
Benefits of depth in neural networks
Matus Telgarsky
148
602
0
14 Feb 2016
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