Mikkel N. Schmidt

Mikkel N. Schmidt, Ph.D. Associate Professor Technical University of Denmark DTU Compute Section for Cognitive Systems Publications

Joaquin Quiñonero Candela

Director of Applied Machine Learning at Facebook Approximation Methods for Gaussian Process Regression Proceedings of Machine Learning Research – Volume 1: Gaussian Processes in Practice, 12-13 June 2006, Bletchley Park, UK Incremental Gaussian Processes  

Durk Kingma

 Machine Learning Research Scientist @ OpenAI   

Melih Kandemir

Özyeğin University Bayesian Modeling and Inference Course Gaussian Processes for Machine Learning Heidelberg Collaboratory for Image Processing Asymmetric Transfer Learning with Deep Gaussian Processes (video)  

Geoffrey E. Hinton

Department of Computer Science – University of Toronto Machine Learning at UofT UofT : Machine learning These Publications Yichuan Tang – Learning Generative Models Using Structured Latent Variables

Radford M. Neal

Dept. of Statistics and Dept. of Computer Science, University of Toronto Publications