Sub‐Weibull distributions: Generalizing sub‐Gaussian and sub‐Exponential properties to heavier tailed distributions M Vladimirova, S Girard, H Nguyen, J Arbel Stat 9 (1), e318, 2020 | 99 | 2020 |
Understanding priors in Bayesian neural networks at the unit level M Vladimirova, J Verbeek, P Mesejo, J Arbel International Conference on Machine Learning, 6458-6467, 2019 | 91* | 2019 |
A primer on Bayesian neural networks: review and debates J Arbel, K Pitas, M Vladimirova, V Fortuin arXiv preprint arXiv:2309.16314, 2023 | 13 | 2023 |
Bayesian neural network unit priors and generalized Weibull-tail property M Vladimirova, J Arbel, S Girard Asian Conference on Machine Learning, 1397-1412, 2021 | 6 | 2021 |
Dependence between Bayesian neural network units M Vladimirova, J Arbel, S Girard arXiv preprint arXiv:2111.14397, 2021 | 2 | 2021 |
Maximizing the Success Probability of Policy Allocations in Online Systems A Betlei, M Vladimirova, M Sebbar, N Urien, T Rahier, B Heymann Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 11061 …, 2024 | 1 | 2024 |
Bayes in action in deep learning and dictionary learning J Arbel, HP Dang, C Elvira, C Herzet, Z Naulet, M Vladimirova ESAIM: Proceedings and Surveys 74, 90-107, 2023 | 1 | 2023 |
Dimensionality reduction for time series decoding and forecasting problems R Isachenko, M Vladimirova, V Strijov DEStech Transactions on Computer Science and Engineering optim, 286-296, 2018 | 1 | 2018 |
FairJob: A Real-World Dataset for Fairness in Online Systems M Vladimirova, F Pavone, E Diemert arXiv preprint arXiv:2407.03059, 2024 | | 2024 |
Distributional properties of Bayesian neural networks M Vladimirova Université Grenoble Alpes [2020-....], 2022 | | 2022 |
Generalized Weibull-tail distributions M Vladimirova, J Arbel, S Girard JDS 2021-52èmes Journées de Statistique de la Société Française de …, 2021 | | 2021 |