Rémi Leluc

According to our database, Rémi Leluc authored at least 12 papers between 2020 and 2024.

Collaborative distances:

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

2024

Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates.

Rémi Leluc, Aymeric Dieuleveut, François Portier, Johan Segers, Aigerim Zhuman

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Compression with Exact Error Distribution for Federated Learning.

Mahmoud Hegazy, Rémi Leluc, Cheuk Ting Li, Aymeric Dieuleveut

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Asymptotic Analysis of Conditioned Stochastic Gradient Descent.

Rémi Leluc, François Portier

Trans. Mach. Learn. Res., 2023

MARLIM: Multi-Agent Reinforcement Learning for Inventory Management.

Rémi Leluc, Elie Kadoche, Antoine Bertoncello, Sébastien Gourvénec

CoRR, 2023

Speeding up Monte Carlo Integration: Control Neighbors for Optimal Convergence.

Rémi Leluc, François Portier, Johan Segers, Aigerim Zhuman

CoRR, 2023

2022

SGD with Coordinate Sampling: Theory and Practice.

Rémi Leluc, François Portier

J. Mach. Learn. Res., 2022

Membership Inference Attacks via Adversarial Examples.

Hamid Jalalzai, Elie Kadoche, Rémi Leluc, Vincent Plassier

CoRR, 2022

A Quadrature Rule combining Control Variates and Adaptive Importance Sampling.

Rémi Leluc, François Portier, Johan Segers, Aigerim Zhuman

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Control variate selection for Monte Carlo integration.

Rémi Leluc, François Portier, Johan Segers

Stat. Comput., 2021

Feature Clustering for Support Identification in Extreme Regions.

Hamid Jalalzai, Rémi Leluc

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Informative Clusters for Multivariate Extremes.

Hamid Jalalzai, Rémi Leluc

CoRR, 2020

Towards Asymptotic Optimality with Conditioned Stochastic Gradient Descent.

Rémi Leluc, François Portier

CoRR, 2020