Criteoailab
On the Impact of the Utility in Semivalue-based Data Valuation
A new diagnostic method that scores data valuation robustness for cleaning, efficient training, and fair partner compensation. This Research Card introduces a new way to measure how trustworthy data valuation really is, by checking how much rankings of “most valuable data” change when the performance metric changes. Using a geometric representation of data contributions, the…
The Gumbel‑Max Trick Made Intuitive
When we work with machine learning models, we constantly turn probabilities into discrete choices. Which ad do we show? Which action do we sample in a reinforcement learning policy? Which word comes next in a language model? All these problems share the same core operation: We have a list of options, each with an associated…
Agentic AI Symposium 2026
A science‑fueled, multidisciplinary approach to Agentic AI Authors: Jean-Yves Franceschi & Mariia Vladimirova At the Criteo AI Lab, we believe that making AI both trustworthy and useful requires a continuous and open dialogue between scientists, engineers, policymakers, regulators, and industry leaders. As AI systems evolve from passive predictors to agentic systems capable of planning, using tools,…
