Abstract: The canonical representation of piecewise-linear (PWL) functions provides a global compact formulation of continuous PWL functions, which has significant advantages in the research and ...

But I argued that it would be more helpful to students’ understanding of the derivative to start with a simpler case first, namely to use only piecewise-linear functions at the beginning.

Abstract: We investigate a representation of piecewise linear function containing a complementarity condition, and call it a linear complementarity representation. This representation is also known as ...

This article is concerned with the computational aspect of l₁ regularization problems with a certain class of piecewise linear loss functions. The problem of computing the l₁ regularization path for a ...

This paper considers a stochastic shortest path problem where the arc lengths are independent random variables following a normal distribution. In this problem, the optimal path is one that maximizes ...

This repository presents the codes used to implement piecewise linear regression. Let y = f(x) + z be a univariate model with x having d variables. Only s out of d variables from x contribute to the ...

This repository contains authors' implementation of PPLNs: Parametric Piecewise Linear Networks for Event-Based Temporal Modeling and Beyond. Our implementation uses the PyTorch library. We warmly ...