Gaussian Optimistic Smoothing
Abstract
The purpose of this chapter is to introduce and analyse the surrogate loss functions used in Chapters 10 and 11. The results are stated in as much generality as possible to facilitate their use in future applications. In case you want a quick summary of the results, read this introductory section for the basic definitions and then head directly to Section 12.9.
Fields of Study & Subjects
Stochastic Gradient Optimization Techniques
Gaussian Processes and Bayesian Inference
Statistical Methods and Inference
Publication details
- Journal / source
- Cambridge University Press eBooks
- Pages
- 198–226
- Publication date
- 7 March 2026
- Language
- EN
- Document type
- Book chapter