Operadic GPAV: Topologically-Aware Isotonic Regression on Large-Scale Networks

Jonathan Toledo Toledo (INFOTEC Centro de Investigación e Innovación en Tecnologías de la Información y Comunicación)

Fri Jun 26, 06:00-07:00 (3 weeks from now)

Abstract: This talk presents OGPAV, a new algorithm for isotonic regression on partially ordered sets that exploits topological structure and operadic decompositions to reduce computational complexity in large-scale problems.

data structures and algorithmsmachine learningcategory theory

Audience: learners


Tropical mathematics and machine learning

Series comments: Tropical mathematics, machine learning, category theory and anything tech+math are welcome.

Organizer: Eric Dolores-Cuenca*
*contact for this listing

Export talk to