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Xiaoyi MAI
Xiaoyi MAI
CRIStAL, CNRS
Verified email at univ-lille.fr - Homepage
Title
Cited by
Cited by
Year
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
572019
A random matrix analysis and improvement of semi-supervised learning for large dimensional data
X Mai
Journal of Machine Learning Research 19 (79), 1-27, 2018
532018
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
32*2019
Classification asymptotics in the random matrix regime
R Couillet, Z Liao, X Mai
2018 26th European Signal Processing Conference (EUSIPCO), 1875-1879, 2018
212018
Consistent semi-supervised graph regularization for high dimensional data
X Mai, R Couillet
Journal of Machine Learning Research 22 (94), 1-48, 2021
182021
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
172017
Statistical analysis and improvement of large dimensional svm
X Mai, R Couillet
private communication, 2018
62018
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
42022
Methods of random matrices for large dimensional statistical learning
X Mai
Université Paris-Saclay, 2019
22019
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
22019
Semi-supervised spectral clustering
MAI Xiaoyi, R Couillet
2018 52nd Asilomar Conference on Signals, Systems, and Computers, 2012-2016, 2018
22018
Un processus ponctuel déterminantal pour la sélection de variables supervisée
X Mai, R Bardenet
12022
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
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Articles 1–14