Stochastic Optimization for Multiview Representation Learning using Partial Least Squares

Abstract

Partial Least Squares (PLS) is a ubiquitous statistical technique for bilinear factor analysis. It is used in many data analysis, machine learning, and information retrieval applications to model the covariance structure between a pair of data matrices. In this paper, we consider PLS for representation learning in a multiview setting where we have more than… (More)

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Cite this paper

@inproceedings{Arora2016StochasticOF, title={Stochastic Optimization for Multiview Representation Learning using Partial Least Squares}, author={Raman Arora and Poorya Mianjy and Teodor V. Marinov}, booktitle={ICML}, year={2016} }