Associate Professor & EPSRC Fellow @ UCL. Post-Bayesian seminar series sign-up @ https://xitter.cf/t.co/a0MyAQOh16 Research mission @ https://xitter.cf/t.co/kNIjvCrGne
London
Joined April 2019
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If you are looking for a PhD position at the intersection of Bayesian statistics and machine learning, consider getting in touch with me! I'm building a research group on generalised Bayesian methods with applications in ML at UCL over the coming years.
𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲𝗹𝘆 𝗢𝗿𝗶𝗲𝗻𝘁𝗲𝗱 𝗣𝗼𝘀𝘁𝗲𝗿𝗶𝗼𝗿𝘀 define a new statistical principle that derives model uncertainty from predictive accuracy. This predictively dominates classical approaches and avoids epistemic uncertainty from collapsing.
arxiv.org/abs/2510.01915
Jeremias Knoblauch retweeted
I'm on the academic job market!
I design and analyze probabilistic machine-learning methods---motivated by real-world scientific constraints, and developed in collaboration with scientists in biology, chemistry, and physics.
A few highlights of my research areas are:
ALT Probabilistic machine learning in scientific pipelines.
Jeremias Knoblauch retweeted
I am pleased to share our new NeurIPS paper for online Bayesian inference for neural networks. Instead of focusing on updating the parameter posterior, we work with the predictive posterior (which makes much more sense for non-identifiable models, and gives us more algorithmic freedom for developing faster methods).
Our paper “Martingale Posterior Neural Networks for Fast Sequential Decision Making” has been accepted at #neurips2025!
Joint work with @l_sbetancourt, @AlvaroCartea and @sirbayes
Blog: grdm.io/posts/bnn-without-ba…
Paper: arxiv.org/abs/2506.11898
Code: github.com/gerdm/martingale-…
Jeremias Knoblauch retweeted
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-ic… @stats_UCL @uclcsml
Jeremias Knoblauch retweeted
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
Jeremias Knoblauch retweeted
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!
New paper on Stationary MMD points 📣
arxiv.org/pdf/2505.20754
1️⃣ Samples generated by MMD flow exhibit 'super-convergence'
2️⃣ A discrete-time finite-particle convergence result for MMD flow
Joint work with Toni Karvonen, Heishiro Kanagawa, @fx_briol, Chris J. Oates
Jeremias Knoblauch retweeted
🆕 The ELLIS Unit London (@ucl) will host the first workshop uniting disparate subfields of post-Bayesian methods, including PAC Bayes, generalized Bayes, predictive resampling, Martingale posteriors, and online learning.
📍 London 🏴
📅 May 15-16
🔗 bit.ly/3GgwZ0G
Jeremias Knoblauch retweeted
Don't miss the very first workshop on post-Bayesian methods at UCL on May 15-16. Registration is now open!
We are excited to announce that registration for the inaugural post-Bayes workshop on May 15./16. at UCL is now open!
Website: postbayes.github.io/workshop…
Registration link: tinyurl.com/postBayesWorksho…
Jeremias Knoblauch retweeted
Looking forward to speaking at the Post-Bayes workshop in May!
We are excited to announce that registration for the inaugural post-Bayes workshop on May 15./16. at UCL is now open!
Website: postbayes.github.io/workshop…
Registration link: tinyurl.com/postBayesWorksho…
We are excited to announce that registration for the inaugural post-Bayes workshop on May 15./16. at UCL is now open!
Website: postbayes.github.io/workshop…
Registration link: tinyurl.com/postBayesWorksho…
Jeremias Knoblauch retweeted
Why posteriors MUST be modified, and a simple technic for setting them up.
Dr. French's Modified Posteriors (1937) @ISBA_events
abebooks.com/Dr-Frenchs-Modi…
Jeremias Knoblauch retweeted
Congratulations to @UCL / @stats_UCL's @matialtamiranom on being one of the 2024-2025 @Bloomberg #DataScience Ph.D. Fellows!
Learn more about Matías’ research focus and our latest cohort of Ph.D. Fellows: bloom.bg/4itDDiN
#AI #ML #NLProc #NeurIPS2024
ALT Matías Altamirano of the Department of Statistical Science at University College London (UCL) is a 2024-2025 Bloomberg Data Science Ph.D. Fellow.
Jeremias Knoblauch retweeted
Super happy and grateful to be awarded the Bloomberg fellowship. Huge thanks to my amazing supervisors @LauchLab and @fx_briol , as well as all my collaborators for their support!
Congratulations to @UCL / @stats_UCL's @matialtamiranom on being one of the 2024-2025 @Bloomberg #DataScience Ph.D. Fellows!
Learn more about Matías’ research focus and our latest cohort of Ph.D. Fellows: bloom.bg/4itDDiN
#AI #ML #NLProc #NeurIPS2024
ALT Matías Altamirano of the Department of Statistical Science at University College London (UCL) is a 2024-2025 Bloomberg Data Science Ph.D. Fellow.
🥳🥳🥳Massive congratulations to my PhD student @matialtamiranom for winning one of the 3 Bloomberg Fellowships for his work on robust & efficient post-Bayesian methods! I cannot think of anyone more deserving!😊
Read more at tinyurl.com/MatiasBloomberg
📢 Post-Bayesian online seminar series coming!📢
To stay posted, sign up at
tinyurl.com/postBayes
We'll discuss cutting-edge methods for posteriors that no longer rely on Bayes Theorem.
(e.g., PAC-Bayes, generalised Bayes, Martingale posteriors, ...)
Pls circulate widely!
Jeremias Knoblauch retweeted
Interested in reducing the computational cost of running simulations in simulation-based inference (SBI)?
Check out our new “Cost-aware SBI” paper w. @DaolangHuang @samikaski @fx_briol
arxiv.org/abs/2410.07930
Thread👇
If you thought that
(1) the ‘cold posterior effect’ is unique to Bayesian deep learning or
(2) the temperature in cold posteriors / power posteriors can be tuned to significantly improve the predictive capabilities of a (regular) model,
think again.
arxiv.org/abs/2408.08806
Friends, I'm excited to share some professional news:
- I'll be promoted to Associate Professor in October
- my research won the Savage Award (tinyurl.com/pvm6vpfk)
- I've started working at the nexus of ML & consumer/human rights with FoxGlove (NGO) and Leigh Day (law firm)