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...

Celý popis

Podrobná bibliografia

Vydané v:	IEEE signal processing magazine Ročník 37; číslo 5; s. 43 - 54
Hlavní autori:	Liu, Sijia, Chen, Pin-Yu, Kailkhura, Bhavya, Zhang, Gaoyuan, Hero, Alfred O., Varshney, Pramod K.
Médium:	Magazine Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.09.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Approximation error Convergence Estimation Linear programming Machine learning Optimization Signal processing Signal processing algorithms
ISSN:	1053-5888, 1558-0792
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!