Publications

[1] Control Variate Selection for Monte Carlo Integration. R. Leluc, F. Portier and J. Segers.
Statistics and Computing 31 (2021). [ PDF | bib | code | slides ]
[2] Feature Clustering for Support Identification in Extreme Regions. H.Jalalzai and R. Leluc.
International Conference on Machine Learning (ICML) (2021). [ PDF | bib | code | slides ]
[3] SGD with Coordinate Sampling: Theory and Practice. R. Leluc and F. Portier.
Journal of Machine Learning Research (JMLR) (2022). [ PDF |  bib | code | slides ]
[4] A Quadrature Rule combining Control Variates and Adaptive Importance Sampling. R. Leluc, F. Portier, J. Segers and A. Zhuman.
Advances in Neural Information Processing Systems (NeurIPS) (2022). [ PDF | bib | code | slides | poster ]
[5] MARLIM: Multi-Agent Reinforcement Learning for Inventory Management. R. Leluc, E. Kadoche, A. Bertoncello and S. Gourvénec.
NeurIPS Workshop on Reinforcement Learning for Real Life (2022). [ PDF | slides | poster ]
[6] Membership Inference Attacks via Adversarial Examples. H. Jalalzai, E. Kadoche, R. Leluc and V. Plassier.
NeurIPS Workshop on Trustworthy and Socially Responsible Machine Learning (2022). [ PDF | bib ]
[7] Asymptotic Analysis of Conditioned Stochastic Gradient Descent. R. Leluc and F. Portier.
Transactions on Machine Learning Research (TMLR) (2023). [ PDF | bib | code | slides ]
[8] Speeding up Monte Carlo Integration: Control Neighbors for Optimal Convergence. R. Leluc, F. Portier, J. Segers and A. Zhuman.
Bernoulli (2024). [ PDF | code | slides ]
[9] Compression with Exact Error Distribution for Federated Learning. M. Hegazy, R. Leluc, CT. Li and A. Dieuleveut.
International Conference on Artificial Intelligence and Statistics (AISTATS) (2024). [ PDF | bib | code | poster ]
[10] Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates. R. Leluc, A. Dieuleveut, F. Portier, J. Segers and A. Zhuman.
International Conference on Machine Learning (ICML) (2024). [paper | code | slides | poster ]