2 papers
stat.ML2026
Locally Near Optimal Piecewise Linear Regression in High Dimensions via Difference of Max-Affine Functions
Haitham Kanj, Kiryung Lee
This paper presents a parametric solution to piecewise linear regression through the Adaptive Block Gradient Descent (ABGD) algorithm. The heart of the method is the parametrizatio…
stat.ML2026
Sparse Max-Affine Regression
Haitham Kanj, Seonho Kim, Kiryung Lee
This paper presents Sparse Gradient Descent as a solution for variable selection in convex piecewise linear regression, where the model is given as the maximum of -affine functi…