Joined April 2019
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Pinned Tweet
19 Feb 2022
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.
19 Feb 2022
🚨🚨🚨 7 PhD Studentships at UCL in Statistical Science. More information 👇:
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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
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Jeremias Knoblauch retweeted
7 Nov 2025
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.
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Jeremias Knoblauch retweeted
28 Oct 2025
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).
28 Oct 2025
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-…
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Jeremias Knoblauch retweeted
12 Sep 2025
The application for a research fellowship at the Flatiron Institute in the Center for Computational Math is now live! This includes positions for ML and stats.
The deadline is Dec 1. Links below with more details.
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Jeremias Knoblauch retweeted
3 Jul 2025
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
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Jeremias Knoblauch retweeted
29 May 2025
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
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Jeremias Knoblauch retweeted
29 May 2025
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!
29 May 2025
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
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Jeremias Knoblauch retweeted
16 Apr 2025
🆕 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
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Jeremias Knoblauch retweeted
26 Feb 2025
Don't miss the very first workshop on post-Bayesian methods at UCL on May 15-16. Registration is now open!
26 Feb 2025
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…
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Jeremias Knoblauch retweeted
26 Feb 2025
Looking forward to speaking at the Post-Bayes workshop in May!
26 Feb 2025
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…
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26 Feb 2025
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…
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Jeremias Knoblauch retweeted
16 Dec 2024
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…
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Jeremias Knoblauch retweeted
10 Dec 2024
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.
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Jeremias Knoblauch retweeted
10 Dec 2024
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!
10 Dec 2024
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.
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10 Dec 2024
🥳🥳🥳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
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19 Nov 2024
📢 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!
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Jeremias Knoblauch retweeted
16 Oct 2024
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👇
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22 Aug 2024
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
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22 Aug 2024
Recent work led by my PhD student Yann McLatchie & in collaboration with my amazing colleagues Edwin Fong and David Frazier.
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29 Jul 2024
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)
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