Publications

Conferences and Journals

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]