Mark van der Wilk
About
Mark van der Wilk has authored 17 papers that have received a total of 399 indexed citations.
This includes 16 papers in Artificial Intelligence, 5 papers in Control and Systems Engineering and 5 papers in Computational Theory and Mathematics. The topics of these papers are Gaussian Processes and Bayesian Inference (11 papers), Machine Learning and Data Classification (6 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Mark van der Wilk is often cited by papers focused on Gaussian Processes and Bayesian Inference (11 papers), Machine Learning and Data Classification (6 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers) and collaborates with scholars based in United Kingdom, Germany and United States. Mark van der Wilk's co-authors include Carl Edward Rasmussen, James Hensman, Yarin Gal, Adrian Weller and Alex Kendall and has published in prestigious journals such as Journal of Machine Learning Research and Computers & Chemical Engineering
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