| 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 | 28 | 2018 |
| Classification asymptotics in the random matrix regime R Couillet, Z Liao, X Mai 2018 26th European Signal Processing Conference (EUSIPCO), 1875-1879, 2018 | 16 | 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 | 12 | 2019 |
| High dimensional classification via empirical risk minimization: Improvements and optimality X Mai, Z Liao arXiv preprint arXiv:1905.13742, 2019 | 4 | 2019 |
| Statistical analysis and improvement of large dimensional svm X Mai, R Couillet private communication, 2018 | 4 | 2018 |
| 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 | 4 | 2017 |
| 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 | 2 | 2019 |
| Random Matrix-Inspired Improved Semi-Supervised Learning on Graphs X Mai, R Couillet International Conference on Machine Learning, 2018 | 2 | 2018 |
| Consistent Semi-Supervised Graph Regularization for High Dimensional Data X Mai, R Couillet arXiv preprint arXiv:2006.07575, 2020 | | 2020 |
| Méthodes des matrices aléatoires pour l’apprentissage en grandes dimensions X Mai Paris Saclay, 2019 | | 2019 |
| Methods of random matrices for large dimensional statistical learning X Mai Université Paris-Saclay, 2019 | | 2019 |
| Semi-supervised Spectral Clustering MAI Xiaoyi, R Couillet 2018 52nd Asilomar Conference on Signals, Systems, and Computers, 2012-2016, 2018 | | 2018 |
