Publications
| [1] | Control Variate Selection for Monte Carlo Integration. R. Leluc, F. Portier and J. Segers. Statistics and Computing 31 (2021). [PDF| code] |
| [2] | Feature Clustering for Support Identification in Extreme Regions. H.Jalalzai and R. Leluc. International Conference on Machine Learning (ICML) (2021). [PDF] |
| [3] | SGD with Coordinate Sampling: Theory and Practice. R. Leluc and F. Portier. Journal of Machine Learning Research (JMLR) (2022). [ PDF | bib | code ] |
| [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] | Speeding up Monte Carlo Integration: Control Neighbors for Optimal Convergence. R. Leluc, F. Portier, J. Segers and A. Zhuman. Bernoulli (2024). [arXiv| code ] |
| [6] | Asymptotic Analysis of Conditioned Stochastic Gradient Descent. R. Leluc and F. Portier. Transactions on Machine Learning Research (TMLR) (2023). [PDF | bib | code] |
| [7] | 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] |
| [8] | 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). [arXiv | PDF] |
| [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). [arXiv] |
| [10] | Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates. R. Leluc, A. Dieuleveut, F. Portier, J. Segers and A. Zhuman. arXiv 2402.01493 (2024). [arXiv] |