# Gaussian Processes and Bayesian Inference

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/gaussian-processes-and-bayesian-inference-2/

## Facts

| Field | Value |
| --- | --- |
| Citations | 373,994 |
| Description | 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. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | https://openalex.org/T12814 |
| Works | 24,898 |

## Topic researchers

Showing 12 of 20.

- [Yoshua Bengio](https://scholariq.org/researchers/yoshua-bengio/)
- [Geoffrey E. Hinton](https://scholariq.org/researchers/geoffrey-e-hinton/)
- [Robert Tibshirani](https://scholariq.org/researchers/robert-tibshirani/)
- [Karl Friston](https://scholariq.org/researchers/karl-friston/)
- [Donald B. Rubin](https://scholariq.org/researchers/donald-b-rubin/)
- [Trevor Hastie](https://scholariq.org/researchers/trevor-hastie/)
- [Kieron Burke](https://scholariq.org/researchers/kieron-burke/)
- [Ilya Sutskever](https://scholariq.org/researchers/ilya-sutskever/)
- [Michael I. Jordan](https://scholariq.org/researchers/michael-i-jordan/)
- [Oriol Vinyals](https://scholariq.org/researchers/oriol-vinyals/)
- [David Silver](https://scholariq.org/researchers/david-silver/)
- [S. Henrot–Versillé](https://scholariq.org/researchers/s-henrot-versille/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.