Gaussian Processes and Bayesian Inference

This cluster of papers focuses on the application of Gaussian Processes in machine learning, covering topics such as variational inference, sparse regression, Bayesian inference, deep learning, and probabilistic models. It also explores the use of Gaussian Processes for nonparametric methods, time series modelling, and handling big data.

Journals publishing in this area

1

Neural Computation

ISSN 0899-766789 articles in this topic

247h-index

2.31Impact

3.8KArticles

491.1KCitations

2

Journal of the Royal Statistical Society Series B (Statistical Methodology)

ISSN 1369-741284 articles in this topic

307h-index

1.61Impact

4.2KArticles

739.3KCitations