Gen-Oja: A Simple and Efficient Algorithm for Streaming Generalized Eigenvector Computation

Neural Information Processing Systems 

In this paper, we study the problems of principal Generalized Eigenvector computation and Canonical Correlation Analysis in the stochastic setting. We propose a simple and efficient algorithm, Gen-Oja, for these problems.