Search this site
Embedded Files
Skip to main content
Skip to navigation
8.4.X
Home
Getting Started
A Brief History
Installation
Read The Docs
What is Under the Hood
Examples
Mini Example
GPOptimizer Single Task
Multi-Task and Deep Kernel Learning
Big Data GPOptimizer
Acquisition Functions
GPOptimizer on Non-Euclidean Inputs
Optimize any Function
Classification
Accelerate Online Applications
Constrained Optimization with HGDL
A Unifying Perspective on Non-Stationary Kernels for Deeper GPs
Media and Paper Appearances
FAQ
Presentations and Tutorials
8.4.X
Home
Getting Started
A Brief History
Installation
Read The Docs
What is Under the Hood
Examples
Mini Example
GPOptimizer Single Task
Multi-Task and Deep Kernel Learning
Big Data GPOptimizer
Acquisition Functions
GPOptimizer on Non-Euclidean Inputs
Optimize any Function
Classification
Accelerate Online Applications
Constrained Optimization with HGDL
A Unifying Perspective on Non-Stationary Kernels for Deeper GPs
Media and Paper Appearances
FAQ
Presentations and Tutorials
More
Home
Getting Started
A Brief History
Installation
Read The Docs
What is Under the Hood
Examples
Mini Example
GPOptimizer Single Task
Multi-Task and Deep Kernel Learning
Big Data GPOptimizer
Acquisition Functions
GPOptimizer on Non-Euclidean Inputs
Optimize any Function
Classification
Accelerate Online Applications
Constrained Optimization with HGDL
A Unifying Perspective on Non-Stationary Kernels for Deeper GPs
Media and Paper Appearances
FAQ
Presentations and Tutorials
GPs in a Nutshell
What is a GP? The function-space view.
GPs
The kernel: How does input similarity translate into function value similarity?
Kernels
Live interactive visualization: prior samples, kernel choices, posterior updating.
Hands-On: Modify a kernel in a pre-built Colab; observe how the posterior changes.
Link to Colab
Back to Menu
Report abuse
Page details
Page updated
Report abuse