Torben Sell
Lecturer in Machine Learning
E-mail: torben.sell@ed.ac.uk
School of Mathematics
University of Edinburgh,
James Clerk Maxwell Building,
Peter Guthrie Tait Road,
Edinburgh, EH9 3FD, UK
Research interests: Statistical learning, Statistical methodology, Bayesian statistics, Bayesian neural networks, High-dimensional statistics, Markov chain Monte Carlo, Particle filtering, Reinforcement learning, Stochastic control, Function space sampling methods
I am currently also the principal investigator on an EPSRC Impact Acceleration Account (IAA) project on "How can machine learning and satellite data help with reducing costs in natural capital baselining and natural flood management?".
Please get in touch via email if you are interested in doing a PhD with me.
Publications
- Torben Sell, Thomas B. Berrett, Timothy I. Cannings, "Nonparametric classification with missing data", Annals of Statistics, to appear, arXiv preprint.
- Torben Sell, Sumeetpal S Singh, "Trace-class Gaussian priors for Bayesian learning of neural networks with MCMC", Journal of the Royal Statistical Society Series B: Statistical Methodology, 2023, open access article.
- Chiara Toschi, Mona El-Sayed Hervig, Thiago Burghi, Torben Sell, Parisa Moazen, Li Huang, Ulrik Gether, Trevor W Robbins, Jeffrey W Dalley "Dissociating reward sensitivity and negative urgency effects on impulsivity in the 5-choice serial reaction time task", Brain and Neuroscience Advances, 2022, open access article.
- Jacob Vorstrup Goldman*, Torben Sell*, Sumeetpal S Singh, "Gradient-Based Markov Chain Monte Carlo for Bayesian Inference With Non-Differentiable Priors", Journal of the American Statistical Association, 2021, open access article. *equal contributions
- Torben Sell, "Advanced Bayesian Monte Carlo Methods for Inference and Control", PhD Thesis, 2021, pdf in the University of Cambridge repository.
- Torben Sell, "MCMC Methods for Functions: Modifying Old Algorithms to Make Them Faster", Essay for Part III of the Mathematical Tripos, pdf.
- Torben Sell, "A Convergence Analysis for Preconditioned Gradient Type Eigensolvers", Thesis for Bachelor of Science, pdf.
Teaching
I am course organiser for Statistical Research Skills, taught in Semester 2. In the past, I taught the following courses:
- 2021-2022 - Lecturing and tutoring part of the Facets of Mathematics course at the University of Edinburgh
- 2017-2020 - Supervisor for Part II Topics in Analysis and Part II Numerical Analysis at the University of Cambridge
- 2014-2016 - Tutor for Analysis I and II at the University of Rostock
Miscellaneous
I love sailing and wrote a (hopefully) entertaining logbook entry about the first half of my summer sails 2022 and a logbook ballad about my summer sail 2023.