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Differentially Private Gradient Flow based on the Sliced Wasserstein Distance
Novel differentially private model using gradient flows defined on an optimal transport metric. This Research Card introduces a novel, theoretically grounded method for differentially private generative modeling by leveraging a smooth mathematical process, achieving high-fidelity data generation with strong privacy guarantees and lower computational costs compared to traditional approaches. Title: Differentially Private Gradient Flow based…
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All our contributions at NeurIPS 2024
This year, our research team got a record of 15 papers accepted at the major ML conference. The 38th annual edition of the prestigious international conference NeurIPS 2024 (Neural Information Processing Systems) took place in Vancouver. 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵𝗲𝗿𝘀 𝗳𝗿𝗼𝗺 𝘁𝗵𝗲 𝗖𝗿𝗶𝘁𝗲𝗼 𝗔𝗜 𝗟𝗮𝗯 were there to present their latest ML papers (𝟭𝟯 𝗽𝗮𝗽𝗲𝗿𝘀 — 𝗮𝗺𝗼𝗻𝗴 𝘄𝗵𝗶𝗰𝗵 𝗼𝗻𝗲 𝘀𝗽𝗼𝘁𝗹𝗶𝗴𝗵𝘁 — ,…
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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…
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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…
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Advent of Code 2024 — Sharing our experiences
At Criteo, we were founded on technology, and technology is our passion. We enjoy challenges, so we were ready to participate in Advent of Code once again this year. Additionally, as we did in 2023, we decided to support the initiative by becoming a sponsor. Community building is at the core of our mission, so…
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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…
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Sharing our highlights from RecSys 2024
The 18th edition of the ACM Conference on Recommender Systems (RecSys) took place from October 14th to October 18th 2024, in Bari, Italy. As the leading international conference on recommender systems, RecSys continues to serve as the premier platform for presenting cutting-edge research, systems, and techniques in the field. This year’s event brought together top…
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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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Enhancing Service Reliability with Feature-Based SLOs: A Comprehensive Approach
In recent years, our focus has been on defining Service Level Objectives (SLOs) for HTTP API endpoints. While this approach has proven beneficial for development teams, it has also had less impact on external customers and product teams. Users typically expect SLOs to be associated with features rather than individual endpoints or services. Communicating the…