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Gaussian Process Summer Schoool Lectures

This is a repository for various lectures for the Gaussian Process Summer School.

These lectures are currently in DRAFT form as they are rewritten with parallel notebooks.

Lectures

Session 1: Uncertainty and Modelling

Lecturer: Neil D. Lawrence
Venue: Gaussian Process Summer School
Time: null

Session 2: Gaussian Distributions to Processes

Lecturer: Neil D. Lawrence
Venue: Gaussian Process Summer School
Time: null

Session 3: Covariance Functions and Hyperparameter Optimizaton

Lecturer: Neil D. Lawrence
Venue: Gaussian Process Summer School
Time: null

Session 4: Optimizing Parameters

Lecturer: Neil D. Lawrence
Venue: Gaussian Process Summer School
Time: null

Session 5: Multi-output Gaussian Processes

Lecturer: Neil D. Lawrence
Venue: Gaussian Process Summer School
Time: null

Session 6: Approximate Gaussian Processes

Lecturer: Neil D. Lawrence
Venue: Gaussian Process Summer School
Time: null

Session 7: Non Gaussian Likelihoods

Lecturer: Neil D. Lawrence
Venue: Gaussian Process Summer School
Time: null

Session 8: Unsupervised Learning with Gaussian Processes

Lecturer: Neil D. Lawrence
Venue: Gaussian Process Summer School
Time: null

Session 9: Latent Force Models

Lecturer: Neil D. Lawrence
Venue: Gaussian Process Summer School
Time: null

Session 10: Bayesian Learning of GP-LVM

Lecturer: Neil D. Lawrence
Venue: Gaussian Process Summer School
Time: null

Session 11: Deep Gaussian Processes I

Lecturer: Neil D. Lawrence
Venue: Gaussian Process Summer School
Time: null

Session 12: Deep Gaussian Processes II

Lecturer: Neil D. Lawrence
Venue: Gaussian Process Summer School
Time: null