Publications

Conferences and Journals

Betlei A., Vladimirova M., Sebbar M., Urien N., Rahier T., Heymann B. (2024) Maximizing the success probability of policy allocations in online systems.  In  Conference on Artificial Intelligence.

Arbel J., Pitas K., Vladimirova M. (alphabetic order) (2023) A primer on Bayesian neural networks: Review and debates. [arXiv]

Vladimirova M., Arbel J., Girard S.  (2021) Bayesian neural network unit priors and generalized Weibull-tail property. In  Asian Conference on Machine Learning. [arXiv]

Vladimirova M., Girard S., Nguyen H., Arbel J. (2020) Sub-Weibull distributions: generalizing sub-Gaussian and sub-Exponential properties to heavier-tailed distributions. In Stat Journal. [arXiv]

Vladimirova M., Arbel J., Mesejo-Santiago, P. (2019) Understanding priors in Bayesian neural networks at the unit level,  In International Conference on Machine Learning. [arXiv]

Vladimirova M., Isachenko R., Strijov V. (2018) Dimensionality reduction for time series decoding and forecasting problems, DesTech Proceedings. [text]

Workshops 

Vladimirova M., Arbel J. (2021) Dependence between Bayesian neural network units. In  NeurIPS Workshop on Bayesian Deep Learning. [arXiv]

Vladimirova M., Arbel J., Girard, G. (2021) Generalized Weibull-tail distributions. In Journées de Statistique de la Societé Française de Statistique (SFdS). [hal]

Vladimirova M., Arbel J., Mesejo-Santiago, P. (2018) Bayesian neural networks become heavier-tailed with depth. In NeurIPS Workshop on Bayesian Deep Learning. [text]

Vladimirova M., Arbel J., Mesejo-Santiago, P.  (2018) Bayesian neural network priors at the level of units. In Advances in Approximate Bayesian Inference symposium. [text]