arXiv Machine Learning By Maximilian Dax, Theo Heimel, Gilles Louppe

An Introduction to Bayesian and Frequentist Simulation-Based Inference with Machine Learning

Read the original on arXiv Machine Learning →

arXiv:2607. 21702v1 Announce Type: new Abstract: Simulation-based inference (SBI) with machine learning is an increasingly important tool for solving inverse problems in science and engineering, including parameter inference and the inversion of detector effects.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

arXiv Machine Learning
Jul 27

Simulation-Based Empirical Bayes

arXiv:2607. 21843v1 Announce Type: cross Abstract: Empirical Bayes (EB) performs simultaneous inference across many related latent variables.

By Xinwei Shen, Diana Cai, Cheng Zhang, David M. Blei