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Francis Bach

@bachfrancis.bsky.social
2.4K followers 14 following 21 posts

Researcher in machine learning

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Francis Bach @bachfrancis.bsky.social · 1h
Mike Jordan’s foreword: The science fiction isn’t superintelligence, but the claim that it would likely kill us. Such doomsday narratives demoralize young people. Worth pondering, not despairing over. www.di.ens.fr/~fbach/MJord...
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Francis Bach @bachfrancis.bsky.social · 08/10/2026
He argues that “superintelligence” remains largely science fiction, and that the AI debate has become too focused on existential risks. A thought-provoking interview on the gap between Silicon Valley’s narratives and the practical, economic, and social challenges of AI.
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Francis Bach @bachfrancis.bsky.social · 08/10/2026
The one and only Michael Jordan was interviewed last week by the French newspaper Libération. Here is an English translation. Enjoy! www.di.ens.fr/~fbach/MJord...
di.ens.fr
Michael I. Jordan on AI: “Superintelligence is science fiction”
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Francis Bach @bachfrancis.bsky.social · 04/10/2026
Frontier AI models are impacting us (researchers) in ways that we collectively need to make sense of. My colleague Pierre Marion has nicely put down his thoughts in writing in this insightful blog post. Enjoy! pierremarion23.github.io/thoughts/202...
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Francis Bach @bachfrancis.bsky.social · 25/09/2026
Overwhelmed by the variance of means of exponentials? This blog post is meant for you. As a bonus, a spectral closed-form formula for (approximate) multinomial logistic regression. francisbach.com/spectral_log...
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Francis Bach @bachfrancis.bsky.social · 20/07/2026
L’Inria et le CNRS toujours au top, cette fois-ci avec nos amis de Grenoble. 170km, 5200m de dénivelé positif pour une Etape du Tour autour de l’Alpe d’Huez. Bravo à Julien Mairal, Olivier Cappé et Julyan Arbel!
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Francis Bach @bachfrancis.bsky.social · 05/03/2026
Looking for alternatives to quadratic functions for closed-form analysis in optimization? This post explores matrix Riccati dynamics and their applications to neural networks. francisbach.com/closed-form-...
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Eugene Berta @eberta.bsky.social · 13/11/2025
Still using temperature scaling? With @dholzmueller.bsky.social, Michael I. Jordan and @bachfrancis.bsky.social we argue that with well designed regularization, more expressive models like matrix scaling can outperform simpler ones across calibration set sizes, data dimensions, and applications.
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Francis Bach @bachfrancis.bsky.social · 27/09/2025
Together with the great Frederik Kunstner (fkunstner.github.io)
fkunstner.github.io
Frederik Kunstner
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Francis Bach @bachfrancis.bsky.social · 27/09/2025
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...
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Francis Bach @bachfrancis.bsky.social · 21/07/2025
Avec en prime une photo du lac de Roselend.
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Francis Bach @bachfrancis.bsky.social · 21/07/2025
Jamais deux sans trois. Le département d’informatique de l’ENS toujours en forme. 131 km, 4500m de dénivelé, cette fois-ci avec du Beaufort aux ravitaillements! Bravo Olivier Cappé! #LEtapeduTour
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Francis Bach @bachfrancis.bsky.social · 18/07/2025
Tired of lengthy computations to derive scaling laws? This post is made for you: discover the sharpness of the z-transform! francisbach.com/z-transform/
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Francis Bach @bachfrancis.bsky.social · 18/07/2025
Tired of lengthy computations to derive scaling laws? This post is made for you: discover the sharpness of the z-transform! francisbach.com/z-transform/
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Francis Bach @bachfrancis.bsky.social · 13/07/2025
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/2507.062...
arxiv.org
A Collectivist, Economic Perspective on AI
Information technology is in the midst of a revolution in which omnipresent data collection and machine learning are impacting the human world as never before. The word "intelligence" is being used as...
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Francis Bach @bachfrancis.bsky.social · 01/07/2025
Big thanks to the COLT 2025 organizers for an awesome event in Lyon! Here are the slides from my keynote this morning in case you’re curious about the references I mentioned: www.di.ens.fr/~fbach/fbach...
di.ens.fr
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Julyan Arbel @julyanarbel.bsky.social · 09/06/2025
Register at PAISS 1-5 Sept 2025 @inria_grenoble with very talented speakers this year 🙂 paiss.inria.fr cc @mvladimirova.bsky.social
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Julien Mairal @jmairal.bsky.social · 05/05/2025
The PAISS summer school is back with an incredible line of speakers (and more to come). Spread the word !
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Académie des sciences @academiesciences.bsky.social · 06/05/2025
Épisode 5 de notre série "Les nouveaux visages de l’Académie des sciences" : La statistique, une science en son temps. Retrouvez la vidéo sur Youtube : www.youtube.com/watch?v=2AhT...
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Lénaïc Chizat @lenaicchizat.bsky.social · 14/04/2025
Announcing : The 2nd International Summer School on Mathematical Aspects of Data Science mathsdata2025.github.io EPFL, Sept 1–5, 2025 Speakers: Bach @bachfrancis.bsky.social Bandeira Mallat Montanari Peyré @gabrielpeyre.bsky.social For PhD students & early-career researchers Apply before May 15!
mathsdata2025.github.io
Mathematical Aspects of Data Science
Graduate Summer School - EPFL - Sept. 1-5, 2025
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Académie des sciences @academiesciences.bsky.social · 01/04/2025
[NOUVELLE SERIE "LES NOUVEAUX VISAGES DE L'ACADEMIE DES SCIENCES] Episode n°1 : Anne Canteaut : une architecte de la cryptographie moderne www.youtube.com/watch?v=xyGC...
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Gabriel Peyré @gabrielpeyre.bsky.social · 28/03/2025
Futur best seller!
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Francis Bach @bachfrancis.bsky.social · 24/03/2025
Characterizing finely the decay of eigenvalues of kernel matrices: many people need it, but explicit references are hard to find. This blog post reviews amazing asymptotic results from Harold Widom (1963!) and proposes new non-asymptotic bounds. francisbach.com/spectrum-ker...
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Francis Bach @bachfrancis.bsky.social · 05/03/2025
The must-read introduction to PAC-Bayes!
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Académie des sciences @academiesciences.bsky.social · 11/02/2025
🔬✨ Journée des Femmes et des filles de science✨🔬 À travers leurs parcours inspirants et leurs engagements, les académiciennes, et toutes les femmes et filles de science façonnent la recherche d’aujourd’hui et de demain. Pour aller plus loin : urls.fr/PK5xg9
urls.fr
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Quentin Berthet @ AISTATS @qberthet.bsky.social · 10/02/2025
Check out our paper, with Lawrence Stewart and @bachfrancis.bsky.social Link: arxiv.org/abs/2502.02996 1/8
arxiv.org
Building Bridges between Regression, Clustering, and Classification
Regression, the task of predicting a continuous scalar target y based on some features x is one of the most fundamental tasks in machine learning and statistics. It has been observed and...
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JP Vert @jpvert.bsky.social · 09/02/2025
If you're curious of what is "behind a term sheet", don't miss this account by the Cathay innovation team who led our recent series A at Bioptimus medium.com/cathay-innov...
medium.com
Behind the Term Sheet: Bioptimus’ $41M Series A
The GPT of Biology Raising the Bar of AI-Driven Scientific Research
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Francis Bach @bachfrancis.bsky.social · 07/02/2025
An inspirational talk by Michael Jordan: a refreshing, deep, and forward-looking vision for AI beyond LLMs. www.youtube.com/live/W0QLq4q...
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Fabian Schaipp @fschaipp.bsky.social · 05/02/2025
Learning rate schedules seem mysterious? Why is the loss going down so fast during cooldown? Turns out that this behaviour can be described with a bound from *convex, nonsmooth* optimization. A short thread on our latest paper 🚞 arxiv.org/abs/2501.18965
arxiv.org
The Surprising Agreement Between Convex Optimization Theory and Learning-Rate Scheduling for Large Model Training
We show that learning-rate schedules for large model training behave surprisingly similar to a performance bound from non-smooth convex optimization theory. We provide a bound for the constant schedul...
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Eugene Berta @eberta.bsky.social · 03/02/2025
Early stopping on validation loss? This leads to suboptimal calibration and refinement errors—but you can do better! With @dholzmueller.bsky.social, Michael I. Jordan, and @bachfrancis.bsky.social, we propose a method that integrates with any model and boosts classification performance across tasks.
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JP Vert @jpvert.bsky.social · 05/01/2025
I've been eagerly awaiting this book for years! At last, a standalone and meticulous exposition of the current mathematical principles of machine learning, adorned with beautiful proofs. Well done and thank you, @bachfrancis.bsky.social . Discover more here: francisbach.com/my-book-is-o...
francisbach.com
My book is (at last) out! – Machine Learning Research Blog
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Francis Bach @bachfrancis.bsky.social · 21/12/2024
A happy author discovering the first hard copies
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Francis Bach @bachfrancis.bsky.social · 21/12/2024
My book is (at last) out, just in time for Christmas! A blog post to celebrate and present it: francisbach.com/my-book-is-o...
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Francis Bach @bachfrancis.bsky.social · 21/12/2024
My book is (at last) out, just in time for Christmas! A blog post to celebrate and present it: francisbach.com/my-book-is-o...
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Académie des sciences @academiesciences.bsky.social · 17/12/2024
Breaking news : L'Académie des sciences accueille 18 nouveaux membres dès 2025, avec une majorité féminine pour la 1ère fois depuis 1666 👩‍🔬 : un symbole fort pour la parité en science ! 💥 🔗 En savoir plus sur les nouveaux membres : urlr.me/mntDHX
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Francis Bach @bachfrancis.bsky.social · 27/11/2024
New opening! Post-doctoral position on relaxation methods for large-scale optimization and the management of electrical systems, in collaboration between EDF and Inria Saclay and Paris. See more details here: laurentpfeiffer.github.io/postdoc/
laurentpfeiffer.github.io
| Laurent Pfeiffer
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