Piecewise Linear Regression via a Difference of Convex Functions

v1v2v3 (latest)

Piecewise Linear Regression via a Difference of Convex Functions

5 July 2020

Aditya Gangrade

Venkatesh Saligrama

ArXiv (abs)PDF HTML

Papers citing "Piecewise Linear Regression via a Difference of Convex Functions"

9 / 9 papers shown

Title
The Real Tropical Geometry of Neural Networks Marie-Charlotte Brandenburg Georg Loho Guido Montúfar 115 8 0 18 Mar 2024
Interactive Generalized Additive Model and Its Applications in Electric Load Forecasting Linxiao Yang Rui Ren Xinyue Gu Liang Sun 61 6 0 24 Oct 2023
An Efficient Data Analysis Method for Big Data using Multiple-Model Linear Regression Bohan Lyu Jianzhong Li 31 2 0 24 Aug 2023
Approximating nonlinear functions with latent boundaries in low-rank excitatory-inhibitory spiking networks William F. Podlaski C. Machens 59 10 0 18 Jul 2023
Data-Driven Subgroup Identification for Linear Regression Zachary Izzo Ruishan Liu James Zou OOD 70 4 0 29 Apr 2023
Data-driven Piecewise Affine Decision Rules for Stochastic Programming with Covariate Information Yiyang Zhang Junyi Liu Xiaobo Zhao 160 3 0 26 Apr 2023
On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds Ming Jin Vanshaj Khattar Harshal D. Kaushik Bilgehan Sel R. Jia 51 8 0 02 Dec 2022
Reliably-stabilizing piecewise-affine neural network controllers F. Fabiani Paul Goulart 71 36 0 13 Nov 2021
Faster Algorithms for Learning Convex Functions Ali Siahkamari D. A. E. Acar Christopher Liao Kelly Geyer Venkatesh Saligrama Brian Kulis 42 4 0 02 Nov 2021