TL;DR: ✅ Theoretical guarantees for nonlinear meta-learning ✅ Explains when and how aggregation helps ✅ Connects RKHS regression, subspace estimation & meta-learning Co-led with Michael Li 🙌, with invaluable support from Arthur Gretton, 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!

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 Jeremias Knoblauch Matias Altamirano Montero

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

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.

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!

🚨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/

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 Valentin De Bortoli François-Xavier Briol Arnaud Doucet and Jeremias Knoblauch!

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…

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-… UCL Statistical Science UCL CSML

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-SB…

Geometry and Statistics at UCL “Linking Geometry and Statistics: beyond a mere coincidence?” Date: Tuesday 23rd September 2025 Location: Alan Turing Institute Register: docs.google.com/forms/d/e/1FAI…

Join academics from UCL Statistical Science at The Alan Turing Institute for their upcoming 'Linking Geometry and Statistics: beyond mere coincidence?' event! 📅 23 September, 10.00-16.30 📍 Alan Turing Institute, British Library 🎟️ Free! View programme & register now: turing.ac.uk/events/linking…

Available by Dec 2025: Oliver Ratmann and I are looking for 1 PhD student on AI for pathogen deep-sequence analytics. Scholarship includes UK home fee + stipend. Contact my work email if interested. RT 🙏 docs.google.com/document/u/0/d…

I am hiring a PhD student to start my lab at UCL! Get in touch if you have any questions, the deadline to apply through ELLIS is 31 October. More details🧵

Our seminar is back! The next seminar is Wednesday (Oct 22) and starts at 12:30pm UK time! Arthur Gretton from UCL / Google deepmind is going to talk about “Learning to Act in Noisy Contexts Using Deep Proxy Learning”! ucl.zoom.us/j/99748820264 ucl-ellis.github.io/jt_csml_semina…