PyVBMC: Efficient Bayesian inference in Python

16 March 2023

Papers citing "PyVBMC: Efficient Bayesian inference in Python"

9 / 9 papers shown

Title
Fast and robust Bayesian Inference using Gaussian Processes with GPry Jonas El Gammal Nils Schöneberg J. Torrado C. Fidler GP 85 16 0 03 Nov 2022
Emulation of physical processes with Emukit Andrei Paleyes Mark Pullin Maren Mahsereci Cliff McCollum Neil D. Lawrence Javier I. González 62 80 0 25 Oct 2021
Array Programming with NumPy Charles R. Harris K. Millman S. Walt R. Gommers Pauli Virtanen ... Tyler Reddy Warren Weckesser Hameer Abbasi C. Gohlke T. Oliphant 147 14,953 0 18 Jun 2020
Variational Bayesian Monte Carlo with Noisy Likelihoods Luigi Acerbi 55 42 0 15 Jun 2020
Computing Bayes: Bayesian Computation from 1763 to the 21st Century G. Martin David T. Frazier Christian P. Robert 90 17 0 14 Apr 2020
Parallel Gaussian process surrogate Bayesian inference with noisy likelihood evaluations Marko Jarvenpaa Michael U. Gutmann Aki Vehtari Pekka Marttinen 50 40 0 03 May 2019
Variational Bayesian Monte Carlo Luigi Acerbi BDL 46 65 0 12 Oct 2018
Adaptive Gaussian process approximation for Bayesian inference with expensive likelihood functions Hongqiao Wang Jinglai Li GP 52 61 0 29 Mar 2017
Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature Tom Gunter Michael A. Osborne Roman Garnett Philipp Hennig Stephen J. Roberts TPM 53 104 0 03 Nov 2014