PyVBMC: Efficient Bayesian inference in Python

Author:

Huggins BobbyORCID,Li ChengkunORCID,Tobaben MarlonORCID,Aarnos Mikko J.,Acerbi LuigiORCID

Publisher

The Open Journal

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference21 articles.

1. Variational Bayesian Monte Carlo;Acerbi;Advances in Neural Information Processing Systems,2018

2. Variational Bayesian Monte Carlo with noisy likelihoods;Acerbi;Advances in Neural Information Processing Systems,2020

3. An exploration of acquisition and mean functions in Variational Bayesian Monte Carlo;Acerbi;PMLR,2019

4. Murphy, K. P. (2023). Probabilistic Machine Learning: Advanced Topics. MIT Press. http://probml.github.io/book2

5. Garnett, R. (2023). Bayesian Optimization. Cambridge University Press.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Fast and robust Bayesian inference using Gaussian processes with GPry;Journal of Cosmology and Astroparticle Physics;2023-10-01

2. BlackBIRDS: Black-Box Inference foR Differentiable Simulators;Journal of Open Source Software;2023-09-28

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