Sparse Factorization of Large Square Matrices

Understand

Square matrices appear in many machine learning problems and models.

• Optimization over a large square matrix is expensive in memory and in time.
• Therefore an economic approximation is needed.
• Conventional approximation approaches factorize the square matrix into a number matrices of much lower ranks.