PhD student in machine learning with Francis Bach & Michael I. Jordan: uncertainty quantification, conformal prediction. https://teapawt.net/t.co/dkoZLl0pDg
Joined March 2017
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You can efficiently estimate calibration errors without binning. With @BachFrancis @JordanMich45361 @DHolzmueller and @Eugene_Berta . The catch is to write the calibration error as a drop in risk for the right loss: no bins, a lower bound, and over/under-confidence for free.
📖 Read the full paper: arxiv.org/abs/2602.24230💻 Package available here: github.com/probkit/V-ECE
Sacha Braun retweeted
📺 In case you missed it, my ICML workshop talk about TabICLv2 is now publicly available at icml.cc/virtual/2026/80470
I will be in Palermo for the Italian Meeting on Probability and Mathematical Statistics (IMPMS) next week if you want to chat ! (and present during the conformal prediction session on Tuesday)
Want to directly minimize the conditional quantile of your predictions?🔥
With Michael I. Jordan & @BachFrancis we introduce SLS regression. We use volume as a direct optimization criterion for estimating conditional HDRs.
Plus: it’s conformal-ready.
📝arxiv.org/abs/2605.06210
Sacha Braun retweeted
Check out the great list of papers accepted at our workshop on probability calibration, in particular the student and non-student outstanding paper awards!
See you in Tangier, looking forward to the great conversations about calibration and uncertainty in modern AI 👇
We are excited to announce the accepted papers at our workshop on "Calibration for Modern AI" at @aistats_conf! We will host ~35 papers (direct submission track), and ~10 papers through the main conference track; please see our website: calibration-workshop.github.….
We are also happy to share the outstanding paper awards:
- Outstanding student paper: "From Entropy to Calibrated Uncertainty: Training Language Models to Reason About Uncertainty" by Azza Jenane, Nassim Walha, Lukas Kuhn, Florian Buettner (openreview.net/forum?id=7Fh0…)
- Outstanding non-student paper: "Calibrating the Calibration Tester: Optimal Binning and Minimax Calibration Testing for Continuous Predictive Models" by Alon Kipnis (openreview.net/forum?id=dy7X…)
Direct-track submissions are now public on OpenReview; main conference track papers will be available soon. Congratulations to all authors! Look forward to seeing you in Tangier.
Huge thanks to my wonderful co-organizers for their great help @Eugene_Berta
@SebGGruber
@TPopordanoska
@yifanwu2014
@BachFrancis
Thanks also to the visionary leadership of @aistats_conf for bringing workshops to AISTATS, and for their excellent support throughout the proccess!
Sacha Braun retweeted
Today NeurIPS is announcing our official satellite event in Paris.
After responding to the call from Ellis following the success of EurIPS in December, we are pleased to reach a new milestone by joining forces with the NeurIPS organizing committee for the 2026 edition!
Following the success of the EurIPS and NeurIPS-Mexico City pilots in 2025, we are thrilled to announce two official NeurIPS 2026 satellite events for this year!
These will be held in Paris, France and Atlanta, USA, respectively, running alongside the main venue in Sydney, Australia.
Both satellite events will feature keynotes, oral and poster presentations of accepted NeurIPS 2026 papers, as well as workshops. We are planning tutorials, affinity events, and other elements for the satellite sites and we'll share more information as planning advances.
Wherever you choose to join us, the entire NeurIPS organizing committee is working hard to deliver an outstanding experience for the whole community!
neurips.cc/
It's worth a read!
Excited to share that "Structured Matrix Scaling for Multi-Class Calibration" was accepted to #AISTATS2026!
The final version of the paper is out, and the updated implementation in our package probmetrics (version 1.1) is both FASTER & BETTER.
📢 How can you measure conditional miscoverage ??
With @DHolzmueller, Michael I. Jordan & @BachFrancis, we recast conditional coverage as classification, offering a new lens on both its meaning and its measurement. (+ release a package to compute our metric in 2 lines of code)!
📖 Read the full paper: arxiv.org/abs/2512.11779
💻 Package available here: github.com/ElSacho/covmetric…
Use our package as :
pip install covmetrics
from covmetrics import ERT
print( ERT().evaluate(x, cover, alpha) )
Sacha Braun retweeted
Not all scaling laws are nice power laws. This month’s blog post: Zipf’s law in next-token prediction and why Adam (ok, sign descent) scales better to large vocab sizes than gradient descent: francisbach.com/scaling-laws…
Coming back from an amazing week in Warwick, discovering sampling and diffusion !
Big thanks to Alain Durmus for the teaching and the organization team (Hugo Queniat & Filippo Pagani) for the organization!
📢 New paper on arXiv alert!
With @Eugene_Berta, Michael I. Jordan & @BachFrancis we improve conditional coverage in conformal prediction + handle missing outputs + other extensions you should definitely check in the paper !🎯 #conformalPrediction
Paper : arxiv.org/abs/2507.20941
Code : github.com/ElSacho/Gaussian_…
I guess running in the mountains is a typical holiday break for researchers — and if you're not a runner, consider volunteering at a race instead and soak in all the good vibes! Thanks to the ut4m team for the organisation ;)
Sacha Braun retweeted
Best tutorials are those that do not only promote the speakers' own work.
#ICML2025
Sacha Braun retweeted
What if AI isn’t about building solo geniuses, but designing social systems?
Michael Jordan advocates blending ML, economics, and uncertainty management to prioritize social welfare over mere prediction.
A must-read rethink.
arxiv.org/abs/2507.06268v1
Very interesting work! A must-see for ICLM participants :)
I will be in Vancouver next week for #ICML2025. Come see my work!
🎤 Talk
Thu July 17, 4:00 to 4:15 PM
📍 Oral 6E, Social and Economic Perspectives
🖼️ Poster
Thu July 17, 4:30 to 7:00 PM
📍 East Exhibition Hall A-B, E-700
Feel free to reach out :)
