Edwin V. Bonilla
About
Edwin V. Bonilla has authored 27 papers that have received a total of 3.1k indexed citations.
This includes 22 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 5 papers in Control and Systems Engineering. The topics of these papers are Gaussian Processes and Bayesian Inference (15 papers), Machine Learning and Data Classification (7 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). Edwin V. Bonilla is often cited by papers focused on Gaussian Processes and Bayesian Inference (15 papers), Machine Learning and Data Classification (7 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers) and collaborates with scholars based in Australia, United Kingdom and France. Edwin V. Bonilla's co-authors include Christopher K. I. Williams, Felix Agakov, Scott Sanner, Olivier Temam and Michael O’Boyle and has published in prestigious journals such as Machine Learning, Journal of Machine Learning Research and International Journal of Parallel Programming
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