A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces

Charline Le Lan, Joshua Greaves, Jesse Farebrother +4

Many machine learning problems encode their data as a matrix with a possibly very large number of rows and columns. In several applications like neuroscience, image compression or…