Jeremias Knoblauch

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

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/workshop2025/

Registration link: tinyurl.com/postBayesWorks…

🥳🥳🥳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!