References

  Department of Systems and Control Jožef Stefan Institute

Training and Inference for Deep Gaussian Processes

Nicolas Durrande’s homepage (kernel based methods for interpolation or approximation problems, both from the Gaussian process and RKHS point of view) Phd Thesis (in French) Phd Thesis (slides in English)  

Machine Learning Index of /home/neil/

Deep Learning with Gaussian Process

personal homepage Publications

Professor School of Computer Science and Engineering & Cognitive Science, Brain Science, and Bioinformatics Seoul National University

Research Gate Efficient and Robust Gradient Enhanced Kriging Emulators Using Statistical and Computer Models to Quantify Volcanic Hazards UQ12 – MS1-3 Effective and Efficient Handling of Ill-Conditioned Correlation Matrices in Kriging and Gradient Enhanced Kriging Emulators through Pivoted Cholesky Factorization – link slides – (link video) Effective & Efficient Handling of Ill – Conditioned Correlation … Read more

Automatic Model Construction with Gaussian Processes- PhD Thesis Assistant professor at the University of Toronto Github : code & PhD Thesis

Thang Bui, 4th year PhD student Machine Learning Group  Computational and Biological Learning Lab University of Cambridge