Doubly stochastic algorithms for large-scale optimization

We consider learning problems over training sets in which both, the number of training examples and the dimension of the feature vectors, are large. To solve these problems we propose the random parallel stochastic algorithm (RAPSA). We call the algorithm random parallel because it utilizes multiple...

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Bibliographic Details

Published in:	2016 50th Asilomar Conference on Signals, Systems and Computers pp. 1705 - 1709
Main Authors:	Koppel, Alec, Mokhtari, Aryan, Ribeiro, Alejandro
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.11.2016
Subjects:	Approximation algorithms Convergence Delays Indexes Program processors Radio frequency Training
Online Access:	Get full text
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