We are recruiting four positions connected to Machine Learning, Statistical Learning, and AI for Science in the Applied Mathematics department at École polytechnique. Join our vibrant community at IP Paris and Hi! Paris IA center. List below🧵 tinyurl.com/3jpw9t26
#RejoignezLeCNRS 🫵 Les concours chercheurs CNRS 2026 ouvrent le 8/12 !
Envie de faire avancer la science au sein d’un des plus grands organismes de recherche ?
👉 carrieres.cnrs.fr/concours-...
#ConcoursChercheurs #Science #Recherche #Icicarecrute #recrutement
Risk-controlling Prediction with Distributionally Robust Optimization
Franck Iutzeler, Adrien Mazoyer
Action editor: Michele Caprio
https://openreview.net/forum?id=d9dl6DyJpJ
#robust #prediction #distributionally
I have several offers for Master internships / PhDs on graph ML funded by ERC MALAGA for 2026. Don't hesitate to contact me to apply!
All infos here: nkeriven.github.io/malaga/
Les journées SMAI-MODE 2026 auront lieu à Nice du 18 au 20 mars 2026, précédées par un mini-cours les 16/17.
Vous pouvez déposer votre proposition de contrib sur mode2026.sciencesconf.org
Inscription à partir du 1er décembre pour finir le 1 mars (avec un tarif majoré à compter du 1 février).
Confirmation en CNESER : le mandat du ministre de l'ESR s'est bien terminé dimanche soir, et c'est Elisabeth Borne qui est désormais compétente (au sens juridique du terme) pour les questions d'enseignement supérieur et de recherche.
Solenne Gaucher, la mathématicienne qui sort le genre de l’équation 🧮 par @lemonde.fr
Lauréate du prix Jeunes Talents France L’Oréal-Unesco 2024, la mathématicienne s’attaque aux biais algorithmiques de l’intelligence artificielle ➡️ www.lemonde.fr/campus/artic...
Ces trucs m'énervent tellement que j'ai pris le temps de créer un compte (sur le site de la cours des comptes... oui bon)
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!
Dear colleagues, positions at CNRS (and INRIA) will (in all probability) be announced this winter. By then it will however be too late to properly prepare an application. Recent PhDs, postdocs etc interested in such positions should get right now in contact with teams who would like to recruit them.
I'm thrilled to announce that my #ERCStG project **Optinfinite : Efficient infinite-dimensional optimization over measures**
has been accepted. Thank you
@erc.europa.eu !
Many thanks also to @crestumr.bsky.social @ipparis.bsky.social for they support, as well as to my collaborators and friends.
I love the #eurips initiative! But to live up to its potential, it should be accepted an official #neurips conference location (similar to Mexico City) and not just an addon! Then we would save C02, rather than adding to it!!! What can we do to achieve this?
Paper ( #ICML 2025 ) arxiv.org/abs/2503.16398
See also our previous work the invariant distribution of SGD ( #ICML 2024 ) arxiv.org/abs/2406.09241
🔧 Technical approach: Building on our previous paper on the invariant measures of SGD, we leverage large deviations theory (Freidlin-Wentzell) to obtain matching upper/lower bounds on the hitting time to a neighborhood of the global minima.
📊 Here's how it looks on a standard non-convex example. We plot the log of the global convergence time as a function of the step-size. Our theory predicts a linear relationship and the slope of this line (red). R² = 0.97 for theory vs 0.99 for data fit ✔️
🔗 Our quantity E captures the interplay between geometry and SGD convergence, enabling transfer from loss landscape literature to convergence guarantees.
💡 Key consequence: Our results explain how the favorable properties of the landscape of NNs drive SGD's convergence
🌄 The key quantity E is a geometric measure of what makes optimization hard, eg:
• When f has no spurious minima → E = 0 → sub-exponential convergence
• Even more: E can be controlled by the depth of spurious minima - shallow minima → small E → fast convergence 🚀
🔑 Main result: we find that the mean time τ to hit a global minimum starting from x is
𝔼[τ] ≈ exp(E(x) / η)
where:
• η = (constant) step size of SGD
• E(x) = energy-like function that captures the geometry of the non-convex landscape and the statistics of the noise
🎯 The challenge: Most SGD theory gives local guarantees or requires special structure (overparameterization, specific models, etc).
We ask: for ANY smooth non-convex function, how much time does SGD need to reach the global optimum (escaping all spurious minima along the way)?
❓ How long does SGD take to reach the global minimum on non-convex functions?
With W. Azizian, J. Malick, P. Mertikopoulos, we tackle this fundamental question in our new ICML 2025 paper: "The Global Convergence Time of Stochastic Gradient Descent in Non-Convex Landscapes"
📣 New preprint 📣
**Differentiable Generalized Sliced Wasserstein Plans**
w/
L. Chapel
@rtavenar.bsky.social
We propose a Generalized Sliced Wasserstein method that provides an approximated transport plan and which admits a differentiable approximation.
arxiv.org/abs/2505.22049 1/5
lets using fucking git plz
Attention #JuliaLang users & scientific computing fans: #JuliaCon Local Paris 2025 is drawing closer 😱
- Talk submissions are still open (for 1️⃣ more week!)
- Tickets are now available (at early 🐦 prices)
Tell your colleagues, your neighbors, your grandma 👵 details at juliacon.org/local/paris2...
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...
The PAISS summer school is back with an incredible line of speakers (and more to come). Spread the word !
The logo for JuliaCon Local Paris 2025. Pretty cool tbh. Design by cormullion.
Fellow #JuliaLang enthusiasts, here's your chance to shine: the call for proposals of JuliaCon Local Paris 2025 is finally open. Send us your coolest, nerdiest contributions and we'll prepare a scientific program for the ages!
pretalx.com/juliacon-loc...
Algorithme, intelligence artificielle… les #mathématiques sont plus que jamais au cœur des technologies. Mais cette science devient un sujet d’inquiétude pour les instances françaises : une illustration supplémentaire du french paradox.
📻 À écouter sur @franceinfo.fr bit.ly/41F9hCC
@cnrs.fr
The 2025 Barkley Marathons is over. There are no finishers. #BM100
🎓 Concours Normalien Étudiant
Le Concours Normalien Étudiant : une opportunité unique d’accéder à une formation d’excellence, de bénéficier d’un environnement intellectuel stimulant et de rejoindre une communauté engagée.
🎥 Toutes les infos sur la page de notre site : bit.ly/3YjeQTz
