| A random matrix analysis and improvement of semi-supervised learning for large dimensional data X Mai, R Couillet The Journal of Machine Learning Research 19 (1), 3074-3100, 2018 | 44 | 2018 |
| A large scale analysis of logistic regression: Asymptotic performance and new insights X Mai, Z Liao, R Couillet ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 37 | 2019 |
| Classification asymptotics in the random matrix regime R Couillet, Z Liao, X Mai 2018 26th European Signal Processing Conference (EUSIPCO), 1875-1879, 2018 | 22 | 2018 |
| High Dimensional Classification via Regularized and Unregularized Empirical Risk Minimization: Precise Error and Optimal Loss X Mai, Z Liao arXiv preprint arXiv:1905.13742, 2019 | 21* | 2019 |
| Consistent semi-supervised graph regularization for high dimensional data X Mai, R Couillet The Journal of Machine Learning Research 22 (1), 4181-4228, 2021 | 8 | 2021 |
| The counterintuitive mechanism of graph-based semi-supervised learning in the big data regime X Mai, R Couillet 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 7 | 2017 |
| Statistical analysis and improvement of large dimensional svm X Mai, R Couillet private communication, 2018 | 6 | 2018 |
| Methods of random matrices for large dimensional statistical learning X Mai Université Paris-Saclay, 2019 | 2 | 2019 |
| On the effectiveness of active learning by uncertainty sampling in classification of high-dimensional gaussian mixture data X Mai, S Avestimehr, A Ortega, M Soltanolkotabi ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 1 | 2022 |
| Revisiting and improving semi-supervised learning: a large dimensional approach X Mai, R Couillet ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 1 | 2019 |
| Semi-supervised spectral clustering MAI Xiaoyi, R Couillet 2018 52nd Asilomar Conference on Signals, Systems, and Computers, 2012-2016, 2018 | 1 | 2018 |
| Un processus ponctuel déterminantal pour la sélection de variables supervisée X Mai, R Bardenet | | 2022 |
| Méthodes des matrices aléatoires pour l’apprentissage en grandes dimensions X Mai Université Paris-Saclay (ComUE), 2019 | | 2019 |
| Apprentissage semi-supervisé sur les graphes pour les données de grande dimension X MAI, R COUILLET | | |
