A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning: Principals, Recent Advances, and Applications

Zeroth-order (ZO) optimization is a subset of gradient-free optimization that emerges in many signal processing and machine learning (ML) applications. It is used for solving optimization problems similarly to gradient-based methods. However, it does not require the gradient, using only function eva...

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Bibliographic Details

Published in:	IEEE signal processing magazine Vol. 37; no. 5; pp. 43 - 54
Main Authors:	Liu, Sijia, Chen, Pin-Yu, Kailkhura, Bhavya, Zhang, Gaoyuan, Hero, Alfred O., Varshney, Pramod K.
Format:	Magazine Article
Language:	English
Published:	New York IEEE 01.09.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Approximation error Convergence Estimation Linear programming Machine learning Optimization Signal processing Signal processing algorithms
ISSN:	1053-5888, 1558-0792
Online Access:	Get full text
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