Noise amplifiation of momentum-based optimization algorithms-Reference-Cited by-同舟云学术

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Noise amplifiation of momentum-based optimization algorithms

Published:2023-05-31 Issue: Volume: Page:
ISSN:
Container-title:2023 American Control Conference (ACC)
language:
Short-container-title:

Author:

Mohammadi Hesameddin¹,Razaviyayn Meisam²,Jovanović Mihailo R.¹

Affiliation:

1. University of Southern California,Ming Hsieh Department of Electrical and Computer Engineering,Los Angeles,USA,CA 90089

2. University of Southern California,Daniel J. Epstein Department of Industrial and Systems Engineering,Los Angeles,USA,CA 90089

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10155646/10155787/10156292.pdf?arnumber=10156292

Reference30 articles.

1. The Fastest Known Globally Convergent First-Order Method for Minimizing Strongly Convex Functions

2. A Robust Accelerated Optimization Algorithm for Strongly Convex Functions

3. Gradient-based hyper-parameter optimization through reversible learning;maclaurin;Proc ICML,2015

4. Analysis of Optimization Algorithms via Integral Quadratic Constraints: Nonstrongly Convex Problems

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