Reposted by Timothée Devergne
Almost 5 years in the making... "Hyperparameter Optimization in Machine Learning" is finally out! 📘
We designed this monograph to be self-contained, covering: Grid, Random & Quasi-random search, Bayesian & Multi-fidelity optimization, Gradient-based methods, Meta-learning.
arxiv.org/abs/2410.22854
