Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Priser, Victor"'
This paper addresses the problem of approximating an unknown probability distribution with density $f$ -- which can only be evaluated up to an unknown scaling factor -- with the help of a sequential algorithm that produces at each iteration $n\geq 1$
Externí odkaz:
http://arxiv.org/abs/2409.13272
Stein Variational Gradient Descent (SVGD) is a widely used sampling algorithm that has been successfully applied in several areas of Machine Learning. SVGD operates by iteratively moving a set of interacting particles (which represent the samples) to
Externí odkaz:
http://arxiv.org/abs/2406.11929
We consider a discrete-time system of n coupled random vectors, a.k.a. interacting particles. The dynamics involve a vanishing step size, some random centered perturbations, and a mean vector field which induces the coupling between the particles. We
Externí odkaz:
http://arxiv.org/abs/2403.17472