Mariia Vladimirova
Senior Research Scientist ·
Criteo AI Lab, Paris
Trustworthy AI · Causal inference · AI governance
I am a senior research scientist at Criteo AI Lab in Paris and a member of the Fairplay joint team (Inria). My work spans fairness in machine learning, causal inference, and constrained optimization.
My research addresses fairness and ethics across the ML stack: bidding systems, recommender systems on tabular data, and large generative models. I study how evaluation protocol choices drive fairness verdicts as much as model properties do, and promote reproducible auditing through Fairness Cards. On the decision side, I use causal inference and uplift modeling to learn personalized treatment policies for large-scale online systems, with a focus on constrained allocation and budget-aware optimization. Before joining Criteo, I did research on theoretical deep learning at Inria Grenoble 🚡🏔️. An overview of current and upcoming research directions is available on the research page.
I provide technical and scientific inputs to policymakers on AI regulation, including contributions to CNIL consultations on GDPR and AI systems in the context of the EU AI Act. I also co-chair annual AI symposiums, give invited talks at universities and summer schools, and was recognized as a Rising Star in AI Ethics 2025.
@inproceedings{vladimirova2026fairness,
title={Position: Fairness Failure in Generative Models is an Evaluation Problem},
author={Vladimirova, Mariia and Franceschi, Jean-Yves and Issenhuth, Thibaut},
booktitle={International Conference on Machine Learning},
year={2026}
}@inproceedings{vladimirova2024fairjob,
title={{FairJob}: A Real-World Dataset for Fairness in Online Systems},
author={Vladimirova, Mariia and Diemert, Eustache and Pavone, Federico},
booktitle={Advances in Neural Information Processing Systems,
Datasets and Benchmarks Track},
year={2024}
}@article{arbel2026primer,
title={A Primer on {Bayesian} Neural Networks: Review and Debates},
author={Arbel, Julyan and Pitas, Konstantinos and
Vladimirova, Mariia and Fortuin, Vincent},
journal={Statistical Science},
volume={41},
number={2},
pages={316--353},
year={2026},
doi={10.1214/24-STS969}
}