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About me

I am a postdoctoral researcher at the University of Helsinki working on sample-effiencient Bayesian inference with Luigi Acerbi.

Prior to that, I was a postdoc at the University of Oxford and a Junior Research Fellow at Linacre College. There I worked with Michael Osborne’s Bayesian Exploration Lab. I obtained my PhD degree under Søren Hauberg’s supervision at the Technical University of Denmark. My thesis is available here.

For all publications please visit my Google Scholar and for short news you can follow me on Twitter.

Research Interests

Gaussian Processes, Scalable Bayesian Inference, Bayesian Quadrature and Optimisation, Sample-efficienct methods, Probabilistic Numerics

Selected Publications

Bézier Gaussian Processes for Tall and Wide Data, NeurIPS 2022
with M. Osborne

Isometric Gaussian Process Latent Variable Model for Dissimilarity Data, ICML 2021
with S. Hauberg

Stochastic Differential Equations with Variational Wishart Diffusions, ICML 2020
with M. Deisenroth and H. Salimbeni

For all publications please visit Google Scholar.

Contact

martin.jorgensen ‘at’ helsinki.fi