Gaussian Processes and Bayesian Inference

Gaussian Processes and Bayesian Inference is a research topic within Artificial Intelligence. Science Explorer counts 8.6k research works in it since 1951. 10.2% of them reached the world's top 10% most cited for their field and year.

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.

• Gaussian Processes
• Machine Learning
• Variational Inference
• Sparse Regression
• Bayesian Inference
• Deep Learning
• Probabilistic Models
• Nonparametric Methods
• Time Series Modelling
• Big Data