How Effectively Train Large-Scale Machine Learning Models?

DOI10.1007/978-3-030-28565-4_14zbMath1447.90032OpenAlexW2990799924MaRDI QIDQ3299229

Mahshid Salemi Parizi, Aven Samareh

Publication date: 20 July 2020

Published in: Optimization in Large Scale Problems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-28565-4_14

zbMATH Keywords

convex optimizationsupport vector machinegeneralization errorrandom Fourier features

Mathematics Subject Classification ID

Convex programming (90C25) Applications of mathematical programming (90C90)

Uses Software

• Pegasos

Cites Work

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• Pegasos: primal estimated sub-gradient solver for SVM
• Robust Stochastic Approximation Approach to Stochastic Programming
• 10.1162/153244302760200704
• Training a Support Vector Machine in the Primal

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