Stochastic Scale Invariant Power Iteration for KL-divergence Nonnegative Matrix Factorization

Cheolmin Kim, Youngseok Kim, Diego Klabjan

We introduce a mini-batch stochastic variance-reduced algorithm to solve finite-sum scale invariant problems which cover several examples in machine learning and statistics such as…