Bachoc, François

12 publications

ICML 2025 A Parametric Contextual Online Learning Theory of Brokerage François Bachoc, Tommaso Cesari, Roberto Colomboni

AISTATS 2025 A Tight Regret Analysis of Non-Parametric Repeated Contextual Brokerage François Bachoc, Tommaso Cesari, Roberto Colomboni

NeurIPS 2025 When Majority Rules, Minority Loses: Bias Amplification of Gradient Descent François Bachoc, Jerome Bolte, Ryan Boustany, Jean-Michel Loubes

TMLR 2024 A Theoretical Framework for Zeroth-Order Budget Convex Optimization François Bachoc, Tommaso Cesari, Roberto Colomboni, Andrea Paudice

NeurIPS 2024 Fair Online Bilateral Trade François Bachoc, Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni

TMLR 2024 Variational Autoencoder with Weighted Samples for High-Dimensional Non-Parametric Adaptive Importance Sampling Julien Demange-Chryst, Francois Bachoc, Jérôme Morio, Timothé Krauth

AISTATS 2023 Gaussian Processes on Distributions Based on Regularized Optimal Transport François Bachoc, Louis Béthune, Alberto Gonzalez-Sanz, Jean-Michel Loubes

MLJ 2023 Parameter Identifiability of a Deep Feedforward ReLU Neural Network Joachim Bona-Pellissier, François Bachoc, François Malgouyres

NeurIPS 2022 High-Dimensional Additive Gaussian Processes Under Monotonicity Constraints Andrés López-Lopera, Francois Bachoc, Olivier Roustant

NeurIPS 2022 Local Identifiability of Deep ReLU Neural Networks: The Theory Joachim Bona-Pellissier, François Malgouyres, Francois Bachoc

AISTATS 2021 The Sample Complexity of Level Set Approximation François Bachoc, Tommaso Cesari, Sébastien Gerchinovitz

NeurIPS 2021 Instance-Dependent Bounds for Zeroth-Order Lipschitz Optimization with Error Certificates Francois Bachoc, Tom Cesari, Sébastien Gerchinovitz