Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

"The Law of Parsimony in Gradient Descent for Learning Deep Linear Networks."

Can Yaras et al. (2023)

> Home

Details and statistics

DOI: 10.48550/ARXIV.2306.01154

access: open

type: Informal or Other Publication

metadata version: 2023-06-12

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2306-01154
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2306-01154
Can Yaras, Peng Wang, Wei Hu, Zhihui Zhu, Laura Balzano, Qing Qu:
The Law of Parsimony in Gradient Descent for Learning Deep Linear Networks. CoRR abs/2306.01154 (2023)

a service of

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.