Скачать или смотреть PyHEP 2021: Active Learning for Level Set Estimation

Excursion is a python package that efficiently estimates level sets of computationally expensive black box functions. It is a confluence of Active Learning and Gaussian Process Regression. The difference between Level Set Estimation and Bayesian Optimization is that the latter focuses on finding maxima and minima while the former intends to find regions of the parameter space where the function takes a specified value, like a countour.
Excursion uses GPyTorch with state-of-the-art fast posterior fitting techniques and takes advantage of GPUs to scale computations to a higher dimensional input space of the black box function than traditional approaches.

Talk workshop page: https://indico.cern.ch/event/1019958/...