all AI news
Approximation of optimization problems with constraints through kernel Sum-Of-Squares
Feb. 22, 2024, 5:43 a.m. | Pierre-Cyril Aubin-Frankowski, Alessandro Rudi
cs.LG updates on arXiv.org arxiv.org
Abstract: Handling an infinite number of inequality constraints in infinite-dimensional spaces occurs in many fields, from global optimization to optimal transport. These problems have been tackled individually in several previous articles through kernel Sum-Of-Squares (kSoS) approximations. We propose here a unified theorem to prove convergence guarantees for these schemes. Pointwise inequalities are turned into equalities within a class of nonnegative kSoS functions. Assuming further that the functions appearing in the problem are smooth, focusing on pointwise …
abstract approximation articles arxiv constraints convergence cs.lg fields global inequality kernel math.oc optimization prove spaces squares theorem through transport type
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne