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Jeremias Knoblauch
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Jeremias Knoblauch
@LauchLab
Associate Professor & EPSRC Fellow @ UCL. Post-Bayesian seminar series sign-up @ tinyurl.com/postBayes Research mission @ tinyurl.com/3536aycw
London
jeremiasknoblauch.github.io
Joined April 2019
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  • Pinned
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    Jeremias Knoblauch
    @LauchLab
    Feb 19, 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.
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    UCL Statistical Science
    @stats_UCL
    Feb 19, 2022
    🚨🚨🚨 7 PhD Studentships at UCL in Statistical Science. More information πŸ‘‡:
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    Jeremias Knoblauch
    @LauchLab
    Feb 23
    π—£π—Ώπ—²π—±π—Άπ—°π˜π—Άπ˜ƒπ—²π—Ήπ˜† π—’π—Ώπ—Άπ—²π—»π˜π—²π—± π—£π—Όπ˜€π˜π—²π—Ώπ—Άπ—Όπ—Ώπ˜€ 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
    @LauchLab
    Feb 26, 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/workshop2025/ Registration link: tinyurl.com/postBayesWorks…
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  • user avatar
    Jeremias Knoblauch
    @LauchLab
    Dec 10, 2024
    πŸ₯³πŸ₯³πŸ₯³Massive 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
    1.8K
  • user avatar
    Jeremias Knoblauch
    @LauchLab
    Nov 19, 2024
    πŸ“’ Post-Bayesian online seminar series coming!πŸ“’ 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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