Max-Linear Regression by Scalable and Guaranteed Convex Programming.

Seonho Kim Sohail Bahmani Kiryung Lee

Published in: CoRR (2021)

Keyphrases

linear regression
convex programming
least squares
convex optimization
linear programming
interior point methods
nonlinear regression
primal dual
convex functions
kernel learning
high dimensional
semidefinite programming
dimensionality reduction
linear program
computationally intensive