Development and validation of an interpretable machine learning-based calculator for predicting 5-year weight trajectories after bariatric surgery: a multinational … P Saux, P Bauvin, V Raverdy, J Teigny, H Verkindt, T Soumphonphakdy, ... The Lancet Digital Health 5 (10), e692-e702, 2023 | 13 | 2023 |
Bregman deviations of generic exponential families SR Chowdhury, P Saux, O Maillard, A Gopalan The Thirty Sixth Annual Conference on Learning Theory, 394-449, 2023 | 13 | 2023 |
From optimality to robustness: adaptive re-sampling strategies in stochastic bandits D Baudry, P Saux, OA Maillard Advances in Neural Information Processing Systems 34, 14029-14041, 2021 | 11* | 2021 |
Impact of robotic assistance on complications in bariatric surgery at expert laparoscopic surgery centers: a retrospective comparative study with propensity score R Caiazzo, P Bauvin, C Marciniak, P Saux, G Jacqmin, R Arnoux, ... Annals of Surgery 278 (4), 489-496, 2023 | 3 | 2023 |
Risk-aware linear bandits with convex loss P Saux, O Maillard International Conference on Artificial Intelligence and Statistics, 7723-7754, 2023 | 2 | 2023 |
Mathematics of statistical sequential decision-making: concentration, risk-awareness and modelling in stochastic bandits, with applications to bariatric surgery P Saux Inria & Université de Lille, 2024 | | 2024 |
The 32nd Annual Congress of the European Childhood Obesity Group D Thivel, T Handjieva-Darlenska, E Łuszczki, G Torbahn, C Braet, ... | | 2023 |
Easy-to-use AI Calculator Predicting 5 y-Weight Trajectories After Bariatric Surgery: A Sophia Study P Saux, P Bauvin, J Teigny, T Soumphonphakdy, M Debert, V Raverdy, ... Obesity 30, 281-281, 2022 | | 2022 |
Risk-aware linear bandits with convex loss P Saux, O Maillard European Workshop on Reinforcement Learning, 2022 | | 2022 |