Gilles Bareilles

According to our database, Gilles Bareilles authored at least 13 papers between 2020 and 2026.

Collaborative distances:

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

2026

Stochastic Penalty-Barrier Methods for Constrained Machine Learning.

Adam Bosak, Andrii Kliachkin, Jana Lepsová, Gilles Bareilles, Jakub Marecek

CoRR, May, 2026

Byzantine Machine Learning: MultiKrum and an optimal notion of robustness.

Gilles Bareilles, Wassim Bouaziz, Julien Fageot, El-Mahdi El-Mhamdi

CoRR, February, 2026

Brief Announcement: Byzantine Machine Learning, MultiKrum and an Optimal Notion of Robustness.

Gilles Bareilles, Wassim Bouaziz, Julien Fageot, El-Mahdi El-Mhamdi

Proceedings of the ACM Symposium on Principles of Distributed Computing, 2026

2025

humancompatible.train: Implementing Optimization Algorithms for Stochastically-Constrained Stochastic Optimization Problems.

Andrii Kliachkin, Jana Lepsová, Gilles Bareilles, Jakub Marecek

CoRR, September, 2025

Deep Learning as the Disciplined Construction of Tame Objects.

Gilles Bareilles, Allen Gehret, Johannes Aspman, Jana Lepsová, Jakub Marecek

CoRR, September, 2025

Benchmarking Stochastic Approximation Algorithms for Fairness-Constrained Training of Deep Neural Networks.

Andrii Kliachkin, Jana Lepsová, Gilles Bareilles, Jakub Marecek

CoRR, July, 2025

On Monotonicity in AI Alignment.

Gilles Bareilles, Julien Fageot, Lê-Nguyên Hoang, Peva Blanchard, Wassim Bouaziz, Sébastien Rouault, El-Mahdi El-Mhamdi

CoRR, June, 2025

Generalizing while preserving monotonicity in comparison-based preference learning models.

Julien Fageot, Peva Blanchard, Gilles Bareilles, Lê-Nguyên Hoang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2023

Harnessing Structure in Composite Nonsmooth Minimization.

Gilles Bareilles, Franck Iutzeler, Jérôme Malick

SIAM J. Optim., September, 2023

Newton acceleration on manifolds identified by proximal gradient methods.

Gilles Bareilles, Franck Iutzeler, Jérôme Malick

Math. Program., 2023

Piecewise Polynomial Regression of Tame Functions via Integer Programming.

Gilles Bareilles, Johannes Aspman, Jiri Nemecek, Jakub Marecek

CoRR, 2023

2020

On the interplay between acceleration and identification for the proximal gradient algorithm.

Gilles Bareilles, Franck Iutzeler

Comput. Optim. Appl., 2020

Randomized Progressive Hedging methods for multi-stage stochastic programming.

Gilles Bareilles, Yassine Laguel, Dmitry Grishchenko, Franck Iutzeler, Jérôme Malick

Ann. Oper. Res., 2020