Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...

Abstract: This article presents a prediction-correction proximal method (PCPM) for the general nonsmooth convex optimization problem with linear equality and inequality constraints. The proposed ...

This Python library implements homotopy-based optimization methods designed to solve convex optimization problems, with a particular focus on semidefinite programs, hyperbolic programs, and convex ...