Maximum likelihood estimation of sparse networks with missing observations S Gaucher, O Klopp Journal of Statistical Planning and Inference 215, 299-329, 2021 | 16 | 2021 |
Outlier detection in networks with missing links S Gaucher, O Klopp, G Robin Computational Statistics & Data Analysis 164, 107308, 2021 | 13 | 2021 |
Fair learning with Wasserstein barycenters for non-decomposable performance measures S Gaucher, N Schreuder, E Chzhen International Conference on Artificial Intelligence and Statistics, 2436-2459, 2023 | 10 | 2023 |
Hierarchical transfer learning with applications for electricity load forecasting. A Antoniadis, S Gaucher, Y Goude | 8 | 2021 |
Optimality of variational inference for stochasticblock model with missing links S Gaucher, O Klopp Advances in Neural Information Processing Systems 34, 19947-19959, 2021 | 5 | 2021 |
The price of unfairness in linear bandits with biased feedback S Gaucher, A Carpentier, C Giraud Advances in Neural Information Processing Systems 35, 18363-18376, 2022 | 4 | 2022 |
Finite Continuum-Armed Bandits S Gaucher Advances in Neural Information Processing Systems 33, 3186--3196, 2020 | 2 | 2020 |
Supervised Contamination Detection, with Flow Cytometry Application S Gaucher, G Blanchard, F Chazal arXiv preprint arXiv:2404.06093, 2024 | | 2024 |
Position Paper: Open Research Challenges for Private Advertising Systems under Local Differential Privacy M Tullii, S Gaucher, H Richard, E Diemert, V Perchet, A Rakotomamonjy, ... | | 2024 |
Re-thinking High-dimensional Mathematical Statistics F Bunea, R Nowak, AB Tsybakov Oberwolfach Reports 19 (2), 1377-1430, 2023 | | 2023 |
Contributions to stochastic bandits and link prediction problems S Gaucher Université Paris-Saclay, 2022 | | 2022 |