Patrick Saux

According to our database, Patrick Saux authored at least 5 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Development and validation of an interpretable machine learning-based calculator for predicting 5-year weight trajectories after bariatric surgery: a multinational retrospective cohort SOPHIA study.

Patrick Saux, Pierre Bauvin, Violeta Raverdy, Julien Teigny, Hélène Verkindt, Tomy Soumphonphakdy, Maxence Debert, Anne Jacobs, Daan Jacobs, Valerie Monpellier, Phong Ching Lee, Chin Hong Lim, Johanna C. Andersson-Assarsson, Lena M. S. Carlsson, Per-Arne Svensson, Florence Galtier, Guelareh Dezfoulian, Mihaela Moldovanu, Severine Andrieux, Julien Couster, Marie Lepage, Erminia Lembo, Ornella Verrastro, Maud Robert, Paulina Salminen, Geltrude Mingrone, Ralph Peterli, Ricardo V. Cohen, Carlos Zerrweck, David Nocca, Carel W. Le Roux, Robert Caiazzo, Philippe Preux, François Pattou

CoRR, 2023

Bregman Deviations of Generic Exponential Families.

Sayak Ray Chowdhury, Patrick Saux, Odalric Maillard, Aditya Gopalan

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Risk-aware linear bandits with convex loss.

Patrick Saux, Odalric Maillard

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2021

From Optimality to Robustness: Dirichlet Sampling Strategies in Stochastic Bandits.

Dorian Baudry, Patrick Saux, Odalric-Ambrym Maillard

CoRR, 2021

From Optimality to Robustness: Adaptive Re-Sampling Strategies in Stochastic Bandits.

Dorian Baudry, Patrick Saux, Odalric-Ambrym Maillard

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021