Bolte, Jerome

9 publications

TMLR 2025 A Second-Order-like Optimizer with Adaptive Gradient Scaling for Deep Learning Jerome Bolte, Ryan Boustany, Edouard Pauwels, Andrei Purica

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

ICLR 2023 On the Complexity of Nonsmooth Automatic Differentiation Jerome Bolte, Ryan Boustany, Edouard Pauwels, Béatrice Pesquet-Popescu

NeurIPS 2023 One-Step Differentiation of Iterative Algorithms Jerome Bolte, Edouard Pauwels, Samuel Vaiter

NeurIPS 2022 Automatic Differentiation of Nonsmooth Iterative Algorithms Jerome Bolte, Edouard Pauwels, Samuel Vaiter

JMLR 2021 An Inertial Newton Algorithm for Deep Learning Camille Castera, Jérôme Bolte, Cédric Févotte, Edouard Pauwels

NeurIPS 2021 Nonsmooth Implicit Differentiation for Machine-Learning and Optimization Jérôme Bolte, Tam Le, Edouard Pauwels, Tony Silveti-Falls

NeurIPS 2021 Numerical Influence of ReLU’(0) on Backpropagation David Bertoin, Jérôme Bolte, Sébastien Gerchinovitz, Edouard Pauwels

NeurIPS 2020 A Mathematical Model for Automatic Differentiation in Machine Learning Jérôme Bolte, Edouard Pauwels