Spectral Non-Convex Optimization for Dimension Reduction with Hilbert-Schmidt Independence Criterion

Chieh Wu, Jared Miller, Yale Chang +2

The Hilbert Schmidt Independence Criterion (HSIC) is a kernel dependence measure that has applications in various aspects of machine learning. Conveniently, the objectives of diffe…