Publications
| [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 ] |