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Gaussian Process : PhD Thesis

Automatic Model Construction with Gaussian Processes

David Kristjanson Duvenaud

Training and Inference for Deep Gaussian Processes

Keyon Vafa

Bayesian Time Series Learning with Gaussian Processes

Roger Frigola-Alcalde

Gaussian Processes – Iterative Sparse Approximations

Lehel Csato

Flexible and efficient Gaussian process models for machine learning

Edward Lloyd Snelson

NONLINEAR DYNAMICS IDENTIFICATION USING GAUSSIAN PROCESS PRIOR MODELS WITHIN A BAYESIAN CONTEXT

Keith Neo Kian Seng

Bayesian Gaussian Processes for Regression and Classification

Mark N. Gibbs

Parametric estimation of covariance function in Gaussian-process based Kriging models. Application to uncertainty quantification for computer experiments

Francois Bachoc

Efficient Reinforcement Learning using Gaussian Processes

Marc Peter Deisenroth

EVALUATION OF GAUSSIAN PROCESSES AND OTHER METHODS FOR NON-LINEAR REGRESSION

Carl Edward Rasmussen

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