The Impact of Local Geometry and Batch Size on the Convergence and Divergence of Stochastic Gradient Descent
By Vivak Patel. 2017
6 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Yuanzhi Li
- Zeyuan Allen-Zhu
- Yang Yuan
- Robert D. Kleinberg
- Simon Shaolei Du
- Jason D. Lee
- Aleksandrs Slivkins
- Sanjeev Arora
Citations in the corpus
- An Alternative View: When Does SGD Escape Local Minima? (2018, background): “There are also explanations for why small batch methods prefers flat minima while large batch methods are not, by investigating the canonical quadratic sums problem [25].”