[1] Rémi Leluc, François Portier and Johan Segers, Control Variate Selection for Monte Carlo Integration.
Statistics and Computing 31 (2021). [  PDF | code ]
[2] Hamid Jalalzai and Rémi Leluc, Feature Clustering for Support Identification in Extreme Regions.
International Conference on Machine Learning (ICML) (2021). [  PDF ]
[3] Rémi Leluc and François Portier, SGD with Coordinate Sampling: Theory and Practice.
Journal of Machine Learning Research 23 (2022). [ arXiv | code ]
[4] Rémi Leluc, François Portier, Johan Segers and Aigerim Zhuman, A Quadrature Rule combining Control Variates and Adaptive Importance Sampling.
Advances in Neural Information Processing Systems (NeurIPS) (2022). [ arXiv ]
[5] Rémi Leluc and François Portier, Asymptotic Analysis of Conditioned Stochastic Gradient Descent.
arXiv 2006.02745 (2022). [ arXiv ]
[6] Rémi Leluc, Elie Kadoche, Antoine Bertoncello and Sébastien Gourvénec, MARLIM: Multi-Agent Reinforcement Learning for Inventory Management.
NeurIPS Workshop on Reinforcement Learning for Real Life (2022).
[7] Hamid Jalalzai, Elie Kadoche, Rémi Leluc and Vincent Plassier, Membership Inference Attacks via Adversarial Examples.
NeurIPS Workshop on Trustworthy and Socially Responsible Machine Learning (2022). [ arXiv ]