BITESIZE | Is Bayesian Optimization the Answer?
Learning Bayesian Statistics
00:00
Intro
This chapter explores the integration of Bayesian optimization techniques with PyTorch and the use of posterior samples from PyMC models. It highlights the challenges of maintaining differentiability in high-dimensional spaces, shedding light on the balancing act between advanced optimization and the complexities it entails.
Play episode from 00:00
Transcript
