An Expert Community Where Every Voice Matters


Join Us

Author: Criteo Tech

  • Snowcamp 2025: Where Developers Meet in Wintery Grenoble

    Snowcamp 2025: Where Developers Meet in Wintery Grenoble

    Criteo proudly partnered with the Grenoble Snowcamp event. Engaging talks and cool goodies made it a memorable experience for everyone. For the past 3 years, Criteo has proudly partnered with the Grenoble Snowcamp event: We hosted the last two “Snowcamp Tremplin” at our Criteo Grenoble office, where six speakers were coached and competed for a…

  • Trustworthy AI Symposium Highlights

    Trustworthy AI Symposium Highlights

    In the wake of the AI Action Summit, Criteo organized a symposium on Trustworthy AI labeled as an AI Action Summit event. As the international AI Action Summit is set to take place in Paris next Feb. 10 & 11, Criteo leveraged this opportunity to contribute to one of the themes of the summit, Trust in…

  • R&D Community Awards 2024

    R&D Community Awards 2024

    Another year has passed, and we came together to celebrate our accomplishments and honor the Criteo R&D Ambassadors who contributed to our success. At Criteo R&D, we are a welcoming community of experts connected by our passion for tech. Sharing knowledge helps us build bigger and better together, which is the primary motivation for the R&D…

  • Research Card: Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection, and Learning

    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…

  • Research Card: FairJob – A Real-World Dataset for Fairness in Online Systems

    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…

  • Empowering Voices: The Women Do Tech Too Conference

    Empowering Voices: The Women Do Tech Too Conference

    On October 2, the WomenDoTechToo initiative at Criteo reached a significant milestone. After successfully hosting local meetups across various locations for several years, we felt it was time to take a bold step forward by organizing a half-day conference at our headquarters in Paris. In this article, we invite you to enjoy and explore the…

  • Research Card: Repeated Bidding with Dynamic Value

    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…

  • FAIRPLAY: Research program to Optimize Fair & Private Interactions between ML Agents in AI Marketpla

    FAIRPLAY: Research program to Optimize Fair & Private Interactions between ML Agents in AI Marketpla

    How can we ensure that an advertisement or a job offer can be seen in a non-discriminatory way by the people they are displayed to? Inria, ENSAE (National School of Statistics and Economics, part of the Institut Polytechnique de Paris), and the Adtech leader Criteo founded the FAIRPLAY program in 2022. This groundbreaking initiative addresses…

  • Research Card: Mode Identification with Partial Feedback

    Research Card: Mode Identification with Partial Feedback

    An adaptive algorithm that learns the best sequence of questions to identify as quickly as possible (in terms of questions) the most probable label for data points. Paper: Mode Identification with Partial Feedback Authors: Vivien Cabannes (Meta), Charles Arnal (Univ. Paris Saclay), V. Perchet (Ensae & Criteo) Category: Annotation Revue: COLT 2024 Why did we work…

  • Research Card: Fixed Point Label Attribution for Real-Time Bidding

    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,…