Congratulations to everyone who got their @neuripsconf.bsky.social papers accepted 🎉🎉🎉 At #EurIPS we are looking forward to welcoming presentations of all accepted NeurIPS papers, including a new “Salon des Refusés” track for papers which were rejected due to space constraints!

« Can you train a standard classifier without labels ? » was the question we tried to investigate in this survey. Very happy to see @louisohl.bsky.social ‘s final PhD projet published in ACM CSUR!

Louis Ohl@louisohl.bsky.social · 11mo ago

Great news: our "Tutorial on discriminative clustering and mutual information" got upgraded from preprint to ACM Computing Surveys publication! (with @pamattei.bsky.social and Frédéric Precioso). It is available on open access here: dl.acm.org/doi/10.1145/...

Is your company interested in reaching Europe's leading AI researchers? If so, don't worry! There are still plenty of opportunity to support #EurIPS as a sponsor. Sponsorship packages are available and can be further customized if necessary. More info at: eurips.cc/become-sponsor/

📣 Please share: We invite submissions to the 29th International Conference on Artificial Intelligence and Statistics (#AISTATS 2026) and welcome paper submissions at the intersection of AI, machine learning, statistics, and related areas. [1/3]

Estimating a set’s size from uniform (or o/w well-defined) samples is a classical problem, with two well-studied extremes: min structure (birthday problem), max structure (German tank problem). A framework interpolating between them, amongst other things: arxiv.org/abs/2508.05901

Estimating the size of a set using cascading exclusion

Let $S$ be a finite set, and $X_1,\ldots,X_n$ an i.i.d. uniform sample from $S$. To estimate the size $|S|$, without further structure, one can wait for repeats and use the birthday problem. This requ...

arxiv.org

I am pleased to announce that together with some friends, we are organising a workshop on Non-Reversible MCMC Sampling, taking place at Newcastle University from 8–10 September 2025. Details on the programme and registration can be found at the workshop website (sites.google.com/view/probai-...).

Sam Power@spmontecarlo.bsky.social · last yr.

Teaser:

EurIPS is coming! 📣 Mark your calendar for Dec. 2-7, 2025 in Copenhagen 📅 EurIPS is a community-organized conference where you can present accepted NeurIPS 2025 papers, endorsed by @neuripsconf.bsky.social and @nordicair.bsky.social and is co-developed by @ellis.eu eurips.cc

📢 Present your NeurIPS paper in Europe! Join EurIPS 2025 + ELLIS UnConference in Copenhagen for in-person talks, posters, workshops and more. Registration opens soon; save the date: 📅 Dec 2–7, 2025 📍 Copenhagen 🇩🇰 🔗eurips.cc #EurIPS @euripsconf.bsky.social‬

Alright, people, let's be honest: GenAI systems are everywhere, and figuring out whether they're any good is a total mess. Should we use them? Where? How? Do they need a total overhaul? (1/6)

Pour que les Français acceptent la nécessaire consolidation des finances publiques, il faut que la charge en soit équitablement répartie. Ma tribune @lemonde avec O. Blanchard et G. Zucman. www.lemonde.fr/idees/articl...

Olivier Blanchard, Jean Pisani-Ferry et Gabriel Zucman : « Nous partageons le constat qu’un impôt plancher sur les grandes fortunes est le plus efficace face à l’inégalité fiscale »

TRIBUNE. Le dispositif cible les centimillionnaires qui mettent en place des schémas d’optimisation pour échapper à l’impôt. Il ne fait que mettre en conformité nos lois fiscales avec le principe d’ég...

lemonde.fr

The Journées de Statistique of the @statfr.bsky.social is one of my favorite conferences! It started with the Le Cam award being given to Judith Rousseau for her work on Bayesian asymptotics. Judith talked about semiparametric Bernstein-von Mises theorems and her new love for the Bayesian bootstrap.

New preprint! Introducing "A tutorial on discriminative clustering and mutual information" With @pamattei.bsky.social and Frédéric Precioso. arxiv.org/abs/2505.04484 This preprint covers the history of discriminative clustering with pedagogical intents.

A Tutorial on Discriminative Clustering and Mutual Information

To cluster data is to separate samples into distinctive groups that should ideally have some cohesive properties. Today, numerous clustering algorithms exist, and their differences lie essentially in ...

arxiv.org

We are organising EWRL in Tübingen in September. We are working on the program and we will soon be able to make first announcements. Stay tuned, follow @ewrl18.bsky.social

EWRL@ewrl-org.bsky.social · last yr.

Mark your calendars, EWRL is coming to Tübingen! 📅 When? September 17-19, 2025. More news to come soon, stay tuned!

and what a great #PhD summer school! Thanks @jesfrellsen.bsky.social @pamattei.bsky.social and @jmtomczak.bsky.social for organizing it (and having me). Amazing talks, interactions, location and food 💙

Jes Frellsen@jesfrellsen.bsky.social · last yr.

Great quote (and great talk) by @nolovedeeplearning.bsky.social at #GeMMS2025

Today was the first day of invited talks of GeMSS/Statlearn @gemssai.bsky.social with great lectures by @glouppe.bsky.social and Yingzhen Li in the morning…

This review paper by @guillaume-garrigos.com on SGD-related algorithms is a fantastic resource, offering elegant, self-contained, and concise proofs in a single, accessible reference. arxiv.org/pdf/2301.11235

We’ve extended the Statlearn/GeMSS Spring school deadline till February 2! More details at gemss.ai

Pierre-Alexandre Mattei@pamattei.bsky.social · 2y ago

We’re organizing once again the Gznerative Modeling Summer school this spring on the Côte d’Azur, merged for the occasion with SFdS’s Statlearn! Applications are open!

We’re organizing once again the Gznerative Modeling Summer school this spring on the Côte d’Azur, merged for the occasion with SFdS’s Statlearn! Applications are open!

Jes Frellsen@jesfrellsen.bsky.social · 2y ago

Excited about 🎓 Generative Modeling Summer School / Statlearn 🗓️ Mar 31 - Apr 4, 2025, France ℹ️ gemss.ai 🎟️ Deadline: Jan 27, 2025 🧑‍🏫 Yingzhen Li, @stephanmandt.bsky.social, Aude Sportisse, Anna Korba, @glouppe.bsky.social, @jesfrellsen.bsky.social, @pamattei.bsky.social, @jmtomczak.bsky.social, TBA

A happy author discovering the first hard copies

Francis Bach@bachfrancis.bsky.social · 2y ago

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...

Heading to Vancouver for NeurIPS to present our paper “On Conditional Diffusion Models for PDE Simulation”. I'll be together with Sasha and Cristiana at poster 2500 during Thursday’s late afternoon session. Looking forward exciting discussions and meeting new people! 🥸🥸 neurips.cc/virtual/2024...

Sad news. Jacques Roubaud, mathematician, poet, member of the OuLiPo, passed away today. en.wikipedia.org/wiki/Jacques...

Jacques Roubaud - Wikipedia

en.wikipedia.org

Anne Gagneux, Ségolène Martin, @quentinbertrand.bsky.social Remi Emonet and I wrote a tutorial blog post on flow matching: dl.heeere.com/conditional-... with lots of illustrations and intuition! We got this idea after their cool work on improving Plug and Play with FM: arxiv.org/abs/2410.02423

👩‍🎓👨‍🎓 Internship offers (1st step to PhD program) in my group: team.inria.fr/soda/job-off... Topics: ◼ Health AI & causality, accounting for censoring (for people who love health impact) ◼ Foundation models for tabular learning (for people into bigger models) Come work with us!

Opening of the 2025 SohIA summit with @ldaudet.bsky.social on agents and generative models !

Our group at Google DeepMind is now accepting intern applications for summer 2025. Attached is the official "call for interns" email; the links and email aliases that got lost in the screenshot are below.

This year, there are 16 positions at CNRS in computer science (8 in "applied" domains → ask me - 8 on "fundamental" domains → ask the other David). @mathurinmassias.bsky.social has a good list of advice mathurinm.github.io/cnrs_inria_a... Official 🔗 www.ins2i.cnrs.fr/en/cnrsinfo/... Don't wait!

David Monniaux@monniauxd.bsky.social · 2y ago

Recently graduated ? Or a postdoc ? How about a PERMANENT FULL TIME RESEARCH POSITION? Apply to CNRS or INRIA. (You can ask me questions.)

Cute 🕵️‍♂️ From Hansen and Marinacci’s discussion on « Apprroxilate models and robust decisions » by Watson & Holmes

Some machine learners were once children. Here’s where you can find them: go.bsky.app/F6mM37U

📣Job altertS in Toulouse (Maths department) 📣 There are multiple jobs offers from Master internships to Assistant professor in the mathematics of data science, optimization, statistical fairness and robustness. I will try to regroup them in this thread 🧵

New blog post: the Hutchinson trace estimator, or how to evaluate divergence/Jacobian trace cheaply. Fundamental for Continuous Normalizing Flows mathurinm.github.io/hutchinson/