Abstract: We propose a new methodology for the estimation of the rate distortion function (RDF), considering both continuous and discrete reconstruction spaces. The approach is input-space agnostic ...

Abstract: This paper addresses the distributed nonconvex optimization problem, where both the global cost function and local inequality constraint function are nonconvex. To tackle this issue, the ...

AI hallucination is often misread as creativity. This explains why it’s a symptom of optimization fatigue, and what that ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...