MCMC Variational Inference via Uncorrected Hamiltonian Annealing

NeurIPS (2021) Given an unnormalized target distribution we want to obtain approximate samples from it and a tight lower bound on its (log) normalization constant log Z. Annealed Importance Sampling (AIS) with Hamiltonian MCMC is a powerful method that can be used to do this. Its main drawback is th...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Geffner, Tomas, Domke, Justin
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!