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 ] |