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math.OC2023
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…
math.OC2019★ 1 cited
Scale Invariant Power Iteration
Cheolmin Kim, Youngseok Kim, Diego Klabjan
Power iteration has been generalized to solve many interesting problems in machine learning and statistics. Despite its striking success, theoretical understanding of when and how…