Jeremias Knoblauch
@lauchlab
EPSRC Fellow & Assistant Prof/Lecturer @ UCL.
Post-Bayesian.
Research mission @ tinyurl.com/3536aycw
ID: 1114917095429615616
https://jeremiasknoblauch.github.io/ 07-04-2019 15:45:24
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Kevin Murphy (Google DeepMind) will come to visit us next Monday and give a seminar. See details and Zoom link below: Speaker: Kevin Murphy Title: The 4 pillars of machine learning: Predictions, Decisions, Analysis, Synthesis Date: Monday 13th of November between 13:00-14:00
We are excited to have Kevin Patrick Murphy speak to us next Monday (13th of November)! If you're at UCL, join us in person! Otherwise, find details & a zoom link below :)
Interested in Gaussian process regression and/or generalised Bayes? I will be presenting this recent paper showing how to make GPs both outlier-robust and scalable tomorrow at #BAYSM2023 (session starting at at 3.30pm UK-time). j-ISBA Jeremias Knoblauch Matias Altamirano Montero.
A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods [oral], with Veit D. Wild, Sahra Ghalebikesabi, Jeremias Knoblauch, links variational inference, Wasserstein gradient flows and deep ensembles in a new and insightful way. arxiv.org/abs/2305.15027 neurips.cc/virtual/2023/o… 2/4
📢 I am looking for 2 postdocs in my ERC project NEMESIS (tinyurl.com/4d2ry2vj) to develop advanced statistical models for complex (criminal 🕵️) networks‼️ Deadline: April 30, 2024 Duration: 1 year, renewable Where: BIDSA Università Bocconi Info-Application: jobmarket.unibocconi.eu/?id=574
We have a new webpage for the "fundamentals of statistical machine learning"research group at UCL Statistical Science: fsml-ucl.github.io. Check it out to find out what we have been up to! Jeremias Knoblauch Matias Altamirano Montero Masha Naslidnyk Ieva Kazlauskaite UCL
What if a generalised posterior / Gibbs measure uses a loss that need to be estimated? This happens often, e.g. for posteriors based on the MMD, beta-divergences, & estimated likelihoods. Me, David T. Frazier, & Chris Drovandi answer this in a new paper: arxiv.org/abs/2404.15649
Matias Altamirano Montero will present two papers at ICML Conference on how generalised Bayes can make probabilistic ML robust and scalable. Say hi to him! Spotlight paper on GPs -Wed HallC 4-9 #1506: arxiv.org/abs/2311.00463 Paper on KF -Tues HallC 4-9 #1602: arxiv.org/abs/2405.05646 Jeremias Knoblauch