Robust support vector machines via conic optimization

no code implementations • 2 Feb 2024 • Valentina Cepeda, Andrés Gómez, Shaoning Han

We consider the problem of learning support vector machines robust to uncertainty.

Sparse and Smooth Signal Estimation: Convexification of L0 Formulations

no code implementations • 6 Nov 2018 • Alper Atamturk, Andres Gomez, Shaoning Han

Signal estimation problems with smoothness and sparsity priors can be naturally modeled as quadratic optimization with $\ell_0$-"norm" constraints.