François-Xavier Briol
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fxbriol.bsky.social
François-Xavier Briol
@fxbriol.bsky.social
Professor of Statistics and Machine Learning at UCL Statistical Science. Interested in computational statistics, machine learning and applications in the sciences & engineering.
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.
October 28, 2025 at 8:06 AM
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-....
August 28, 2025 at 11:46 AM
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
Pre ICML @ London 2025
The goal of this meetup is to bring together students, researchers, and engineers from the greater London area to discuss machine learning research presented at International Conference on Machine Lea...
sites.google.com
July 3, 2025 at 7:51 AM
Reposted by François-Xavier Briol
I'll give a talk at the BayesComp workshop on 'Bayesian Computation and Inference with Misspecified Models' Tuesday. Come and say "hi!" if you are attending BayesComp!

Workshop website and schedule:
postbayes.github.io/BayesMisspec...
June 15, 2025 at 12:30 PM
Reposted by François-Xavier Briol
Composite Goodness-of-fit Tests with Kernels, now out in JMLR!

www.jmlr.org/papers/v26/2...

Test if your distribution comes from ✨any✨ member of a parametric family. Comes in MMD and KSD flavours, and with code.

@oscarkey.bsky.social @fxbriol.bsky.social Tamara Fernandez
Composite Goodness-of-fit Tests with Kernels
www.jmlr.org
June 5, 2025 at 10:54 PM
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!
Pre ICML @ London 2025
The goal of this meetup is to bring together students, researchers, and engineers from the greater London area to discuss machine learning research presented at International Conference on Machine Lea...
sites.google.com
June 5, 2025 at 5:16 PM
Reposted by François-Xavier Briol
New review funded by @genomicsengland.bsky.social & led by Dr Brieuc Lehmann & PhD student Leandra Brauninger (@statisticsucl.bsky.social) explores how the analytical methods used to process & interpret #genomic #data play a critical role in promoting #health #equity: www.ucl.ac.uk/mathematical...
New review on statistical and machine learning tools to advance equity in genomic research
Review led by Dr Brieuc Lehmann and PhD student Leandra Brauninger (both UCL Statistical Science) explores how the analytical methods used to process and interpret genomic data play a critical role in...
www.ucl.ac.uk
May 15, 2025 at 11:03 AM
Reposted by François-Xavier Briol
Choose Science. Choose Europe.

A new Marie Skłodowska-Curie Actions Postdoctoral Fellowships 2025 call is now open.

With a budget of €404.3 million, it will support around 1,650 researchers from Europe and beyond.

Apply by 10 September → europa.eu/!fBTMgF
May 8, 2025 at 10:12 AM
New ICML 2025 paper: Nested expectations with kernel quadrature.

We propose an algorithm to estimate nested expectations which provides orders of magnitude improvements in low-to-mid dimensional smooth nested expectations using kernel ridge regression/kernel quadrature.

arxiv.org/abs/2502.18284
May 8, 2025 at 4:29 AM
New ICML 2025 paper: Robust Spatio-Temporal GP Regression!

We propose a new GP method with linear-in-time cost that is provably robust to outliers. Unlike competitors, our method is fully conjugate and requires no expensive variational inference!

📄 arxiv.org/abs/2502.02450
May 6, 2025 at 8:33 AM
If you are at AISTATS this week, check out our paper on cost-aware simulation-based inference!
May 2, 2025 at 9:55 AM
Reposted by François-Xavier Briol
"Cost-aware simulation-based inference" is accepted at AISTATS 2025.

Check out our poster #205 on Sunday May 4th in Hall A-E if you are in Phuket. Finland's rising star @huangdaolang.bsky.social will be there to assist you :D

arxiv.org/abs/2410.07930

@fxbriol.bsky.social @samikaski.bsky.social
Cost-aware simulation-based inference
Simulation-based inference (SBI) is the preferred framework for estimating parameters of intractable models in science and engineering. A significant challenge in this context is the large computation...
arxiv.org
May 2, 2025 at 6:45 AM
Ever used kernel mean embeddings or MMD? Wished you had a closed-form expression so you wouldn't need to estimate these? See our new paper with Alex Gessner, Toni Karvonen and Maren Mahsereci, which comes with an associated Python package. arxiv.org/abs/2504.18830
A Dictionary of Closed-Form Kernel Mean Embeddings
Kernel mean embeddings -- integrals of a kernel with respect to a probability distribution -- are essential in Bayesian quadrature, but also widely used in other computational tools for numerical inte...
arxiv.org
April 29, 2025 at 5:08 AM
Reposted by François-Xavier Briol
So far, 2,135 people have responded to the poll Søren and I posted a few days ago. Of those, 94.4% replied “Yes” to being interested in officially presenting accepted @neuripsconf.bsky.social papers in Europe. (1/7)
April 3, 2025 at 11:03 AM
The BayesComp workshop on 'Bayesian Computation and Inference with Misspecified Models' will take place in Singapore on the 16-17th June.

We have an open call for posters/contributed calls, with a deadline on the 1st May. More details on the website:
postbayes.github.io/BayesMisspec...
BayesComp Satellite Workshop on Bayesian Computation and Inference with Misspecified Models
postbayes.github.io
April 2, 2025 at 3:04 PM
Reposted by François-Xavier Briol
JOB OPENING at University of Bristol:
-- Lecturer in Statistics or Machine Learning
-- (x 2 positions available)
-- application deadline: 31 March, 2025

Details at www.bristol.ac.uk/jobs/find/de...

Come join us!
March 5, 2025 at 3:01 PM
Reposted by François-Xavier Briol
Our next talk will be on Thursday the 27th February at 11am UK time. Our next speaker is Ayush Bharti (Aalto University), who will talk about "Cost-aware simulation-based inference". To receive the link, sign up here: listserv.csv.warwick...
February 14, 2025 at 10:41 AM
Reposted by François-Xavier Briol
We are very pleased to announce the Bloomsbury Probability Colloquium, an afternoon of research talks in Probability hosted by the probability group at UCL.

Date and time: Friday 21st March 2025, 2-5PM

Venue: UCL, Department of Statistical Science, room 115, 1-19 Torrington Place, London
Probability at UCL - Colloquium_2025
Friday 21 March 2025, 2-5PM UCL, 1-19 Torrington Place, lecture room 115
sites.google.com
February 14, 2025 at 3:47 PM
My collaborator @ayushbharti.bsky.social will be presenting our recently accepted AISTATS paper on 'cost-aware simulation-based inference' at the next One World ABI Seminar on the 27th February.

Full details of the seminar series: warwick.ac.uk/fac/sci/stat...
arXiv paper: arxiv.org/abs/2410.07930
One World ABI Seminar
warwick.ac.uk
February 14, 2025 at 12:08 PM
Excited to announce we are organising a two-day workshop on 'Bayesian Computation and Inference in Misspecified Models' at BayesComp 2025!

Registrations are now open, with a very nice lineup of speakers to be announced soon! bayescomp2025.sg

@isba-bayesian.bsky.social
Bayes Comp 2025
bayescomp2025.sg
January 28, 2025 at 11:24 AM
UCL and Imperial have an exciting new joint PhD programme on scientific computing and machine learning. Deadline for applications is 15th January. More details here: ccmi-cdt.org
How to apply – CCMI
EPSRC Centre for Doctoral Training in Colllaborative Compuational Modelling at the Interface
ccmi-cdt.org
January 7, 2025 at 8:17 AM
Huge congratulations to @maltamiranomontero.bsky.social for being awarded a prestigious Bloomberg Data Science fellowship! Matias has been doing some outstanding work on making Bayesian statistics and machine learning more robust and scalable.

www.bloomberg.com/company/stor...
Introducing the Seventh Cohort of Bloomberg Data Science Ph.D. Fellows (2024-2025) | Bloomberg LP
Bloomberg announces the three Bloomberg Data Science Ph.D. Fellowship recipients for 2024-2025, making an early investment in their careers.
www.bloomberg.com
December 10, 2024 at 5:10 AM
Our event on 'Computational Statistics and Machine Learning in the sciences' is taking place tomorrow at the London Mathematical Society.

Our stellar line-up includes Harita Dellaporta, Jason McEwen, Ziheng Yang, Ziheng Yang, Marta Betcke, and Sam Livingstone.

Details: www.ucl.ac.uk/data-science/
December 4, 2024 at 11:56 AM
Reposted by François-Xavier Briol
The ISBA election is now complete!

Thanks to all the candidates for their willingness to work with ISBA and to those who cast their votes.

A complete list of newly elected officers, including ISBA Sections, is available at bayesian.org/9857-2/ (click on the title to get to the pdf)
November 28, 2024 at 4:55 AM
Reposted by François-Xavier Briol
Apply now for this Associate Professorship in Oxford (Engineering Science/Keble College)! Particularly good for experts on Digital Twins (modelling, trust, in-the-loop simulation, world models), but generic ML/CV/robotics is also in scope. D/L 27 Jan—please share! my.corehr.com/pls/uoxrecru...
Job Details
my.corehr.com
November 26, 2024 at 1:28 PM