Zhenyu Liao
Zhenyu Liao
Ph.D. candidate at CentraleSupélec, L2S, Paris-Saclay
Verified email at l2s.centralesupelec.fr - Homepage
TitleCited byYear
A Random Matrix Approach to Neural Networks
C Louart, Z Liao, R Couillet
The Annals of Applied Probability 28 (2), 1190-1248, 2018
322018
A Large Dimensional Analysis of Least Squares Support Vector Machines
Z Liao, R Couillet
IEEE Transactions on Signal Processing 67 (4), 1065-1074, 2019
212019
On the Spectrum of Random Features Maps of High Dimensional Data
Z Liao, R Couillet
Proceedings of the 35th International Conference on Machine Learning 80 …, 2018
92018
The Dynamics of Learning: A Random Matrix Approach
Z Liao, R Couillet
Proceedings of the 35th International Conference on Machine Learning 80 …, 2018
92018
Classification Asymptotics in the Random Matrix Regime
R Couillet, Z Liao, X Mai
26th European Signal Processing Conference (EUSIPCO), 1875-1879, 2018
82018
Random Matrices Meet Machine Learning: A Large Dimensional Analysis of LS-SVM
Z Liao, R Couillet
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
52017
A Geometric Approach of Gradient Descent Algorithms in Neural Networks
Y Chitour, Z Liao, R Couillet
arXiv preprint arXiv:1811.03568, 2018
12018
Inner-product Kernels are Asymptotically Equivalent to Binary Discrete Kernels
Z Liao, R Couillet
arXiv preprint arXiv:1909.06788, 2019
2019
High Dimensional Classification via Empirical Risk Minimization: Improvements and Optimality
X Mai, Z Liao
arXiv preprint arXiv:1905.13742, 2019
2019
A Large Scale Analysis of Logistic Regression: Asymptotic Performance and New Insights
X Mai, Z Liao, R Couillet
2019 IEEE International Conference on Acoustics, Speech and Signal …, 2019
2019
On Inner-product Kernels of High Dimensional Data
Z Liao, R Couillet
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