Professor of Statistics and Machine Learning at UCL Statistical Science. Interested in computational statistics, machine learning and applications in the sciences & engineering.
François-Xavier Briol
Loading...
The UCL IMSS Annual Lecture will take place on the 27th April with a keynote from @lestermackey.bsky.social.
The theme is 'Computational Statistics and Machine Learning' and we'll have talks from Alessandro Barp, Paula Cordero Encinar & Po-Ling Loh.
imss2026.github.io
@statisticsucl.bsky.social
Taking place today!
I’ll be giving a talk on a recently accepted NeurIPS paper at the next OWABI seminar on Thursday. The talk will cover simulation-based inference and how you can enhance accuracy when you have cheap approximate simulators at hand.
Just finished delivering a course on 'Robust and scalable simulation-based inference (SBI)' at Greek Stochastics. This covered an introduction to SBI, open challenges, and some recent contributions from my own group.
The slides are now available here: fxbriol.github.io/pdfs/slides-....
The recording of my talk on 'Multilevel neural simulation-based inference' at the 'One World Approximate Bayesian Inference' seminar series is now available on YouTube.
Link: www.youtube.com/watch?v=hBWd...
Today is the day of the pre-ICML event at UCL! Come check out the exciting work from academics, industry researchers, postdocs and PhD students from around London: sites.google.com/view/pre-icm... @statisticsucl.bsky.social @ucl-csml-ellis.bsky.social
Looking forward to the pre-ICML event at UCL on the 3rd July: sites.google.com/view/pre-icm....
Registration and the call for talks/posters are now open!
Robust goodness-of-fit test with kernels -- now out in JMLR!
jmlr.org/papers/v26/2...
- Existing kernel-based goodness-of-fit tests are not necessarily robust. We explain why in the paper.
- We propose a simple yet provably robust extension.
Joint work with @fxbriol.bsky.social
