François-Xavier Briol

🚨Deadline approaching! Discipline Hopping Awards for researchers to support a move into the area of probabilistic AI research and help build the research community Applicants must be eligible to receive UKRI funding (so at a UK institution). More info: probai.ac.uk/funding/

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-icml-… @stats_UCL @uclcsml

Statistical machine learning is powering groundbreaking advances, yet uncertainty quantification remains one of its biggest challenges. Join this lunchtime panel! 🎙️ Live panel 🗓️ 24 June 11.30 📍 White City 🫰 £6 (incl refreshments) ✏️ To book visit👇 eventbrite.co.uk/e/machine-lear…

The 15th edition of the #GreekStochastics meeting is taking place in Folegandros, Greece, on 26-29 August 2025 and focused around the topic of Simulation-Based Inference (SBI) with short courses given by @ValentinDeBort1 @fx_briol @ArnaudDoucet1 and @LauchLab!

Looking forward to the pre-ICML event at UCL on the 3rd July: sites.google.com/view/pre-icml-…. Registration and the call for talks/posters are now open!

The next seminar is this Friday (June 6th) and starts at 12pm midday UK time! Gerardo Duran Martin from Oxford is going to talk about “A unifying framework for generalized Bayesian online learning in non-stationary environment”! ucl.zoom.us/j/99748820264 This seminar is hybrid.…

While the notion of kernel mean embeddings (KME) is now quite entrenched, the notion of kernel quantile embeddings did not exist in the literature and I had occasionally wondered about it. A paper providing a formulation. arxiv.org/abs/2505.20433

Videos from the recent UCL workshop on ‘Advances in Post-Bayesian methods’ are now available on YouTube! Check these out if you couldn’t make it: tinyurl.com/AdvPostBayes @LauchLab @matialtamiranom

TL;DR: ✅ Theoretical guarantees for nonlinear meta-learning ✅ Explains when and how aggregation helps ✅ Connects RKHS regression, subspace estimation & meta-learning Co-led with @lzy_michael 🙌, with invaluable support from @ArthurGretton, Samory Kpotufe.

There’s been lots of interest in gradient flows, but I’ve been a bit sceptical as I wasn’t clear on the advantages. This paper shows that MMD gradient flows can integrate a large class of functions exactly without needing to converge to a global minimum: stationarity is enough!

📣 Our second Annual Lecture is coming up next month! 🌍 Join us on 10 June as we welcome Prof Thordis Thorarinsdottir from University of Oslo & more guests to discuss 'Some Statistical Contributions in Climate Research'. 🖥️ Book your free place now: ucl.ac.uk/mathematical-s…