
Linear Algebra


Continued Fractions —

First-order methods for stochastic optimization — Optimization, particularly deterministic (convex) optimization, is essential to many learning algorithms (regression, support vector machines, matrix factorization etc). This post discusses first-order/gradient-based optimization approaches that

Nonnegative Matrix Factorization, 1 — The aim of this post is to highlight the utility of non-negative factorization (NMF) in data analysis through examples. In a different post, we’ll talk
