Fast sampling via spectral independence beyond bounded-degree graphs

Spectral independence is a recently-developed framework for obtaining sharp bounds on the convergence time of the classical Glauber dynamics. This new framework has yielded optimal O(nlog n) sampling algorithms on bounded-degree graphs for a large class of problems throughout the so-called uniquenes...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Bezáková, I, Galanis, A, Goldberg, LA, Štefankovič, D
Aineistotyyppi: Journal article
Kieli:English
Julkaistu: Association for Computing Machinery 2024