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Zhenyu Liao
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Year
A Random Matrix Approach to Neural Networks
C Louart, Z Liao, R Couillet
The Annals of Applied Probability 28 (2), 1190-1248, 2018
1372018
A Random Matrix Analysis of Random Fourier Features: Beyond the Gaussian Kernel, A Precise Phase Transition, and the Corresponding Double Descent
Z Liao, R Couillet, MW Mahoney
Advances in Neural Information Processing Systems (NeurIPS), 124006, 2020
652020
A Large Dimensional Analysis of Least Squares Support Vector Machines
Z Liao, R Couillet
IEEE Transactions on Signal Processing 67 (4), 1065-1074, 2019
542019
On the Spectrum of Random Features Maps of High Dimensional Data
Z Liao, R Couillet
International Conference on Machine Learning (ICML) 80, 3063-3071, 2018
442018
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
362019
The Dynamics of Learning: A Random Matrix Approach
Z Liao, R Couillet
International Conference on Machine Learning (ICML) 80, 3072-3081, 2018
342018
Kernel Regression in High Dimensions: Refined Analysis Beyond Double Descent
F Liu, Z Liao, JAK Suykens
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
262021
Classification Asymptotics in the Random Matrix Regime
R Couillet, Z Liao, X Mai
26th European Signal Processing Conference (EUSIPCO), 1875-1879, 2018
222018
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
20*2019
Sparse Quantized Spectral Clustering
Z Liao, R Couillet, MW Mahoney
The Ninth International Conference on Learning Representations (ICLR), 2021
162021
Precise Expressions for Random Projections: Low-rank Approximation and Randomized Newton
M Dereziński, F Liang, Z Liao, MW Mahoney
Advances in Neural Information Processing Systems (NeurIPS), 2020
122020
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
102017
Sparse sketches with small inversion bias
M Derezinski, Z Liao, E Dobriban, M Mahoney
Conference on Learning Theory (COLT), 1467-1510, 2021
82021
A geometric approach of gradient descent algorithms in linear neural networks
Y Chitour, Z Liao, R Couillet
Mathematical Control and Related Fields, 2022
7*2022
Hessian Eigenspectra of More Realistic Nonlinear Models
Z Liao, MW Mahoney
Advances in Neural Information Processing Systems (NeurIPS), 2021
72021
Random Matrix Methods for Machine Learning
R Couillet, Z Liao
Cambridge University Press, 2022
62022
On Inner-product Kernels of High Dimensional Data
Z Liao, R Couillet
2019 IEEE 8th International Workshop on Computational Advances in Multi …, 2019
62019
Inner-product kernels are asymptotically equivalent to binary discrete kernels
Z Liao, R Couillet
arXiv preprint arXiv:1909.06788, 2019
32019
A Random Matrix Framework for Large Dimensional Machine Learning and Neural Networks
Z Liao
University of Paris-Saclay, 2019
22019
Random matrices in service of ML footprint: ternary random features with no performance loss
HT Ali, Z Liao, R Couillet
International Conference on Learning Representations (ICLR), 2022
12022
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Articles 1–20