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Path Length Bounds for Gradient Descent and Flow
v1v2v3v4 (latest)

Path Length Bounds for Gradient Descent and Flow

2 August 2019
Chirag Gupta
Sivaraman Balakrishnan
Aaditya Ramdas
ArXiv (abs)PDFHTML

Papers citing "Path Length Bounds for Gradient Descent and Flow"

5 / 5 papers shown
Title
A qualitative difference between gradient flows of convex functions in
  finite- and infinite-dimensional Hilbert spaces
A qualitative difference between gradient flows of convex functions in finite- and infinite-dimensional Hilbert spaces
Jonathan W. Siegel
Stephan Wojtowytsch
61
3
0
26 Oct 2023
Accelerating Fair Federated Learning: Adaptive Federated Adam
Accelerating Fair Federated Learning: Adaptive Federated Adam
Li Ju
Tianru Zhang
Salman Toor
Andreas Hellander
FedML
46
18
0
23 Jan 2023
On the Effective Number of Linear Regions in Shallow Univariate ReLU
  Networks: Convergence Guarantees and Implicit Bias
On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias
Itay Safran
Gal Vardi
Jason D. Lee
MLT
109
24
0
18 May 2022
Exploring Weight Importance and Hessian Bias in Model Pruning
Exploring Weight Importance and Hessian Bias in Model Pruning
Mingchen Li
Yahya Sattar
Christos Thrampoulidis
Samet Oymak
71
4
0
19 Jun 2020
Loss landscapes and optimization in over-parameterized non-linear
  systems and neural networks
Loss landscapes and optimization in over-parameterized non-linear systems and neural networks
Chaoyue Liu
Libin Zhu
M. Belkin
ODL
101
266
0
29 Feb 2020
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