Stochastic Canonical Correlation Analysis

Gao, Chao, Garber, Dan, Srebro, Nathan, Wang, Jialei, Wang, Weiran

arXiv.org Machine Learning 

We tightly analyze the sample complexity of CCA, provide a learning algorithm that achieves optimal statistical performance in time linear in the required number of samples (up to log factors), as well as a streaming algorithm with similar guarantees.

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