My area of research is machine learning with a particular focus on approximate inference. I am interested in seeing powerful models such as Bayesian nonparametrics and deep learning made faster, more reliable, and more accessible for general use in industry.
I want to explore the advantages of diverse learning frameworks, from stochastic iterative procedures to moment-based instantaneous algorithms, and exploit underused properties such as information geometry and exchangeability.
My primary areas of application are natural language processing, relational models, and computer vision.
Rasmus Bonnevie — firstname.lastname@example.org — +45 4119 1390