Amortized rejection sampling in universal probabilistic programming

Detalles Bibliográficos
Autores principales: Naderiparizi, S, Scibior, A, Munk, A, Ghadiri, M, Güneş Baydin, A, Gram-Hansen, B, Schroeder de Witt, C, Zinkov, R, Torr, PHS, Rainforth, T, Teh, YW, Wood, F
Formato: Conference item
Lenguaje:English
Publicado: Journal of Machine Learning Research 2022