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Piecewise Polynomial Regression of Tame Functions via Integer Programming
We consider approximating so-called tame functions, a class of nonsmooth, nonconvex functions, with piecewise polynomial functions.
Taming Binarized Neural Networks and Mixed-Integer Programs
There has been a great deal of recent interest in binarized neural networks, especially because of their explainability.
Riemannian Stochastic Approximation for Minimizing Tame Nonsmooth Objective Functions
In many learning applications, the parameters in a model are structurally constrained in a way that can be modeled as them lying on a Riemannian manifold.
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