Adtech
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Criteo R&D Hits the Stage at Voxxed Days Bucharest 2025
What we learned, shared, and loved at this year’s conference. Authors: Benjamin Degerbaix Diana Carmen Cibu Alex Morus Alexandru Tudor Andreea Dragomirescu Catalin Stan George Patrascu Mihai Iacob Nicu Murgu Ovidiu Badea Rareș Nicolaide Sergiu Petrescu Voxxed Days Bucharest 2025 brought together an exceptional mix of industry professionals, passionate developers, and thought leaders in a…
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Research Card: Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection, and Learning
We discuss a new method for off-policy evaluation, selection, and learning in interactive systems. Title: Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection, and Learning Short Title: A New Principled Method for Improved Evaluation, Selection, and Learning in Interactive Systems Authors: Otmane Sakhi (Criteo AI Lab, France), Imad Aouali (CREST, ENSAE; Criteo AI Lab, France), Pierre…
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Research Card: FairJob – A Real-World Dataset for Fairness in Online Systems
Research Card on how to make the outcome prediction in online systems fairer? Title: FairJob: A Real-World Dataset for Fairness in Online Systems Short Title: Discover and mitigate bias in advertising Authors: Mariia Vladimirova (Criteo AI Lab), Federico Pavone (Paris-Dauphine), Eustache Diemert (Criteo AI Lab) Team: Research.FDL, collaboration with Paris-Dauphine University Revue: NeurIPS 2024, datasets and…
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Research Card: Repeated Bidding with Dynamic Value
This Research Card aims to formulate an optimal bidding strategy for repeated auctions, considering how a buyer’s utility is affected by the time since their last purchase. It also explores the costs involved in implementing simpler shading policies. Title: Repeated Bidding with Dynamic Value Short Title: How to optimally account for the user fatigue in…
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Research Card: Fixed Point Label Attribution for Real-Time Bidding
Research Card on how to attribute positive outcomes to touchpoints in a sequence of displays leading to a conversion. Paper: Fixed Point Label Attribution for Real-Time BiddingAuthors: Martin Bompaire, Antoine Désir, Benjamin HeymannCategory: Operations ResearchRevue: Manufacturing and Service Operations Management Why did we work on this topic (the problem we want to solve)? In display advertising,…
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Five years of Criteo AI Lab
Integrating real AI into AdTech Authors: Romain Lerallut & Liva Ralaivola Five years ago, we set out to do something unheard of in the French tech market — starting a state-of-the-art AI Lab at Criteo. Announcing the Criteo AI Lab We are pleased to announce the launch of the Criteo AI Lab (CAIL), a new chapter in our…
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PETs in Advertising: Scenarios for Trusted Execution Environments
Introduction In our first article, we introduced and compared in a high-level manner two privacy-enhancing technologies (PETs) that are currently being investigated by major browser vendors [1,2] (e.g. Google Chrome & Mozilla Firefox) to address advertising use cases while meeting privacy guarantees. Our second article focused on detailing how some key advertising use cases such…
Fabian Höring & 2 others -

Criteo and the Advertising Ethics
An article by Zofia Trstanova and Renaud Bauvin When responding to the usual question ‘What do you do for a living?’, you tell someone that you work in online advertising, the reaction is often the same: ’So you are the ones with the annoying pop-ups I can’t close’ or ‘Oh, you are the ones showing…
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An Insight into the Criteo AI Lab
An article by Morgane Goibert, Alberto Lumbreras & Flavian Vasile from Criteo The Criteo AI Lab is pioneering innovations in computational advertising. Within this center of scientific excellence, distributed across Paris, Grenoble, and Ann Arbor, our researchers and engineers deliver both fundamental and applied scientific leadership through published research, product innovations, and new technologies powering…
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Muleine Lim’s Seven-Year Ride at Criteo
Tell us about how you ended up at Criteo. I joined Criteo as the fifth member of the new Product team. I thought the idea of leveraging data to make ads more relevant was simple, yet brilliant. I knew no other company doing this at that time. Before Criteo, I spent three years working as a…
