Having a common API for attribution and reporting would help advertising industry based on : - Attribution reporting API (ARA - Google), - Private Ad Measurement (PAM - Apple) - Interoperable Private Attribution (IPA - Meta/Firefox) - MaskedLARK (Microsoft). Data storage

Thanks for sharing! 🧡

I am recruiting a postdoc to work on the foundations of diffusion models. If you are passionate about theory and diffusion models and looking for a unique opportunity to work in an exciting research environment Oxford Statistics head over to jobs.ac.uk/job/DFY193/pos… to apply by March 1

🔴 A new research card is out! 🚀 How to merge two different types of generative models into a single framework, allowing the discovery of new types of generative models via hybridization? 👀 Check all the details in our publication 👇 medium.com/criteo-enginee…

How #ChatGPT and #LLM revolutionized language processing? Discover the groundbreaking research led by Liva Ralaivola and Criteo's AIR team as we unravel the mysteries of these technologies and their implications for the future of AI-driven innovation.🔮 careers.criteo.com/en/criteo-life…

New research card is out! 👀 How to tackle the challenge of calculating the similarity between two sets of embeddings, each held by a different party, while respecting privacy restrictions? 🤔 Paper: "Federated Wasserstein Distance" 👇 #ICLR2024 ICLR 2025 medium.com/criteo-enginee…

We of Criteo AI Lab are incredibly proud of this award. It's a milestone in an adventure started in ... 2016 !(flavianv), with many people contributing over time, overcoming one challenge after another. Hats off to them ! cc Ivan Lobov Olivier Koch

Ce 10 août 2024, 40 048 coureurs amateurs entreront dans l’Histoire en participant à la première épreuve des Jeux Olympiques ouverte à tous avec le #MarathonPourTous #Paris2024. Après des mois de préparation avec le Team Orange Running, leur jour de gloire est arrivé.

Ce matin, 80 coureurs olympiques se sont élancés au départ du marathon. Ce soir, 20 024 coureurs et coureuses auront la chance de vivre le même parcours lors du Marathon pour Tous 🏃‍♀️

Yesterday at #KDD2024, our VP Head of Criteo AI Lab Romain Lerallut 💙💛 🌻 was at the #AdKDD workshop (part of SIGKDD 2025 conference) giving one the keynote 🚀 Thanks to the organizers! 🧡 You can check all the paper presentations here 👉 youtube.com/playlist?list=…

How can we ensure that an ad or a job offer can be seen in a non-discriminatory way by the people they are displayed to? 🤔 #FAIRPLAY: a Research program to Optimize Fair and Private Interactions between ML Agents in AI Marketplaces 👇 Inria ENSAE Paris techblog.criteo.com/fairplay-resea…

.Liva Ralaivola (Criteo France) : « L’entraînement des algorithmes est l’un des grands défis de la publicité digitale » fr.themedialeader.com/liva-ralaivola… via TheMediaLeader.tech

We had full house at our Paris offices this week for our #TrustworthyAI Symposium, organized by Criteo AI Lab in anticipation and under the label of the Paris #AIActionSummit 🌟 Together, we're building an innovative, responsible, and transparent #AI ecosystem!

As a run-up to the #AIActionSummit, @Criteo organized a symposium on Trustworthy AI, featuring viewpoints from Science, Legal, and Public Policy. Here are the highlights of the day : techblog.criteo.com/trustworthy-ai… cc Criteo AI Lab Masha Vladimirova Liva Ralaivola Jean-Yves Franceschi

Join us at #ALT2025 next week! Exciting conversations and knowledge exchange await. Don’t forget to catch up on our key contributions! 🚀

If you are attending #ALT25 today, don't miss our contribution👇 📃 Logarithmic Regret for Unconstrained Submodular Maximization Stochastic Bandit 🗣️ Talk presentation at Session 2 from 1:15PM to 2:15PM 📋 Poster Session from 3:45PM to 4:45PM 👤 Julien Zhou arxiv.org/abs/2410.08578

Last year, at NeurIPS Conference our team reached a new milestone: 15 papers accepted (13 papers - one spotlight, 1 dataset paper and 1 challenge paper) 🎉 Check all our contributions in this exhaustive recap from #NeurIPS2024 👇 techblog.criteo.com/all-our-contri…

Very good writeup ! One addition : our dataset can also be used to explore options in designing the privacy-preserving frameworks themselves, and then observe the impacts on performance. We hope browser vendors will find it useful, along with other adtech players.

🔴 New research card is out! 🔴 This Research Card introduces a novel differentially private model using gradient flows defined on an optimal transport metric. 🤯 Read more 👇 techblog.criteo.com/differentially…