Sign in

Julian Rodemann

@jurodemann.bsky.social
93 followers 295 following 16 posts

www.julian-rodemann.de | PostDoc CISPA Helmholtz | prev. PhD in statistics @LMU_Muenchen | VRS @HarvardStats

PostsRepliesMedia
Julian Rodemann @jurodemann.bsky.social · 07/07/2026
At #ICML2026? Come by our poster: We derive generalization bounds when predictions change the sample, the population, or both... ... and uncover a trade-off between changing the world and learning from it 🧐 📄 openreview.net/forum?id=uQy... 📍 Wed, Jul 8, 2.30 PM -- Session 4
000
Reposted by Julian Rodemann
Krikamol Muandet @krikamol.bsky.social · 01/05/2026
What does generalization mean under performativity? To learn more, check out this paper from @jurodemann.bsky.social
011
Reposted by Julian Rodemann
Natalie Collina @ncollina.bsky.social · 09/04/2026
Excited to give a tutorial this year at ICML 2026!
1155
Julian Rodemann @jurodemann.bsky.social · 01/05/2026
🍾🍾Two papers accepted at #ICML @icmlconf.bsky.social One of them is already on arxiv: arxiv.org/abs/2602.04402 Check it out if you want to understand generalization/stat. inference under performativity! Great collaboration w @krikamol.bsky.social, James Bailie and Unai Fischer-Abaigar
arxiv.org
Performative Learning Theory
Performative predictions influence the very outcomes they aim to forecast. We study performative predictions that affect a sample (e.g., only existing users of an app) and/or the whole population (e.g...
040
Reposted by Julian Rodemann
Vincent Fortuin @vincefort.eurosky.social · 23/03/2026
Join us this year for NeurIPS in Paris! This time, it will be an *official presentation venue* I’m very proud of the whole team for pulling this off, especially on such a short timeline since EurIPS last December 💪
0284
Reposted by Julian Rodemann
Symposium on Probabilistic Machine Learning @probml.bsky.social · 10/02/2026
ProbML 2026 (formerly AABI) invites submissions on probabilistic ML (both Bayesian and otherwise!), July 5 in Seoul (co-located with ICML). Website: probml.cc. Tracks: proceedings (PMLR), workshop, fast track. New focus includes applications in healthcare and climate! Submit by: 20 March 2026.
12516
Julian Rodemann @jurodemann.bsky.social · 06/02/2026
Predictions can affect the thing they aim to predict. Think of self-fulfilling economic forecasts or self-negating routing (Google maps etc.). Can we learn from samples that reacted to our model? And what if the ground truth also reacts? 👇Answers👇 arxiv.org/abs/2602.04402 w/ @krikamol.bsky.social
arxiv.org
Performative Learning Theory
Performative predictions influence the very outcomes they aim to forecast. We study performative predictions that affect a sample (e.g., only existing users of an app) and/or the whole population (e.g...
011
Julian Rodemann @jurodemann.bsky.social · 16/12/2025
🚨 Paper Alert: Empirical Decision Theory 🚨 We introduce “Empirical Decision Theory”, a framework for decision making that is radically empirical: Instead of positing an abstract state space, we work with observed act–consequence protocols only. Check it out! 👉https://arxiv.org/abs/2512.05677👈
010
Reposted by Julian Rodemann
let-all.com @let-all.com · 03/12/2025
Reminder that this is today at 7 pm! Please join us if you are at #NeurIPS2025
084
Julian Rodemann @jurodemann.bsky.social · 03/12/2025
👋 I’m at @neuripsconf.bsky.social in San Diego 🌴Hit me up if you’d like to talk imprecise probabilities, learning theory, good old statistics, or simply anything Bayesian 🤓 #NeurIPS2025 #NeurIPS #NeurIPS25
030
Julian Rodemann @jurodemann.bsky.social · 01/12/2025
I had a great time visiting the @Stanford Trustworthy AI lab (stairlab.stanford.edu) last week. My talk on empirical AI alignment (lnkd.in/d_SxW4YP) and incentive-aware AI regulation sparked a lot of fruitful discussion💡 Now off to #NeurIPS2025 in San Diego. 🌴
040
Reposted by Julian Rodemann
Clément Canonne @ccanonne.github.io · 29/11/2025
Something worrying me: many seem to change their research direction out of FOMO, reacting to (the obvious) recent trend: "If I don't do this, someone else will do it!" One of the key perks we have in academia is the freedom to set our own agenda.* If someone else can—and WILL—do it, why would you?
6486
Julian Rodemann @jurodemann.bsky.social · 24/07/2025
🎉 Honored to receive the IJAR Young Researcher Award (🥈) The award is given to researchers who demonstrate excellence at an early stage of their scientific careers, sponsored by the International Journal of Approximate Reasoning (IJAR). isipta25.sipta.org/awards
021
Julian Rodemann @jurodemann.bsky.social · 10/06/2025
Glad to share this paper was accepted at @ecmlpkdd.org ! We show interpreting BayesOpt helps personalize soft exosuits (see picture) Great collaboation w/ Fede Croppi, @giuseppe88.bsky.social et al. @lmumuenchen.bsky.social @munichcenterml.bsky.social @harvard.edu @wyssinstitute.bsky.social
101
Reposted by Julian Rodemann
Sébastien Destercke @sebastiendestercke.bsky.social · 07/05/2025
Getting coverage guarantees over functional surrogate models? This is what A. Gray and V. Gopakumar (they did the heavy lifting) have done using conformal predictions and zonotopes over reduced dimensions. It will be present at UAI 2025 (@auai.org), but a preview is here: arxiv.org/abs/2501.18426.
arxiv.org
Guaranteed confidence-band enclosures for PDE surrogates
We propose a method for obtaining statistically guaranteed confidence bands for functional machine learning techniques: surrogate models which map between function spaces, motivated by the need build ...
032
Reposted by Julian Rodemann
Sébastien Destercke @sebastiendestercke.bsky.social · 26/04/2025
In case you are interested in very recent advances of learning under imprecision with probability sets, you can check out the recent and fantastic SIPTA virtual talk by @krikamol.bsky.social, now on youtube: www.youtube.com/watch?v=gGPF...
youtube.com
SIPTA Seminar by Krikamol Muandet: Imprecise generalisation
YouTube video by Imprecise Probabilities Channel of SIPTA
032
Reposted by Julian Rodemann
BERD@NFDI @berd-nfdi.bsky.social · 27/03/2025
Helen Alber's DAGStat 2025 talk yesterday showed how LLMs streamline sentence classification and how to fix their mistakes. 💡 The solution? A two-step approach: LLMs pre-classify, experts refine, and Sim-SIMEX corrects errors, boosting efficiency and handling imbalanced data as well as MC-SIMEX.
031
Julian Rodemann @jurodemann.bsky.social · 12/12/2024
If you're attending #NeurIPS2024, don't miss our spotlight poster on multicriteria benchmarking TODAY 11am in West Ballroom A-D Talk: neurips.cc/virtual/2024... Paper: openreview.net/pdf?id=jXxvS... Where? West Ballroom A-D #6501 When? Thu 12 Dec 11 a.m. - 2 p.m. local time #neurips #neurips24
neurips.cc
NeurIPS Poster Statistical Multicriteria Benchmarking via the GSD-FrontNeurIPS 2024
040
Julian Rodemann @jurodemann.bsky.social · 12/12/2024
#MachineLearning is all about learning parameters from data, right? Well, not quite… 🤸‍♂️Actually, it sometimes works the other way around. 🤔Curious how? 👉Check out our poster on reciprocal learning: neurips.cc/virtual/2024... @neuripsconf.bsky.social #NeurIPS2024 #NeurIPS
010