Efficient Globally Convergent Stochastic Optimization for Canonical Correlation Analysis

Weiran Wang, Jialei Wang, Dan Garber, Dan Garber, Nati Srebro. Efficient Globally Convergent Stochastic Optimization for Canonical Correlation Analysis. In Daniel D. Lee, Masashi Sugiyama, Ulrike V. Luxburg, Isabelle Guyon, Roman Garnett, editors, Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain. pages 766-774, 2016. [doi]

Abstract

Abstract is missing.