常用链接
- [1]Cosme Louart, Zhenyu Liao, and Romain Couillet. A Random Matrix Approach to Neural Networks. The Annals of Applied Probability 28(2) (Apr. 2018), 1190–1248..
- [2]Zhenyu Liao and Romain Couillet. A Large Dimensional Analysis of Least Squares Support Vector Machines. IEEE Transactions on Signal Processing 67(4) (Feb. 2019), 1065–1074..
- [3]Zhenyu Liao, Romain Couillet, and Michael W Mahoney. A random matrix analysis of random Fourier features: beyond the Gaussian kernel, a precise phase transition, and the corresponding double descent. Journal of Statistical Mechanics: Theory and Experiment 2021(12) (Dec. 2021), 124006..
- [4]Zhenyu Liao and Romain Couillet. On the Spectrum of Random Features Maps of High Dimensional Data. International Conference on Machine Learning (ICML). Vol. 80. PMLR, July, 2018, pp.3063–3071..
- [5]Zhenyu Liao and Romain Couillet. The Dynamics of Learning: A Random Matrix Approach. International Conference on Machine Learning (ICML). Vol. 80. PMLR, July 2018, pp.3072–3081..
- [6]Michal Derezinski, Feynman T Liang, Zhenyu Liao, and Michael W. Mahoney. Precise expressions for random projections: Low-rank approximation and randomized Newton. Advances in Neural Information Processing Systems (NeurIPS). Vol. 33. Curran Associates, Inc., 2020, pp.18272–18283..
- [7]Zhenyu Liao, Romain Couillet, and Michael W. Mahoney. A Random Matrix Analysis of Random Fourier Features: Beyond the Gaussian Kernel, A Precise Phase Transition, and the Corresponding Double Descent. Advances in Neural Information Processing Systems (NeurIPS). Vol. 33. Curran Associates, Inc., 2020, pp.13939–13950..
- [8]Fanghui Liu, Zhenyu Liao, and Johan Suykens. Kernel Regression in High Dimension: Refined Analysis beyond Double Descent. International Conference on Artificial Intelligence and Statistics (AISTATS). Vol. 130. PMLR, 13–15 Apr 2021, pp.649–657..
- [9]Zhenyu Liao, Romain Couillet, and Michael W. Mahoney. Sparse Quantized Spectral Clustering. International Conference on Learning Representations (ICLR). 2021..
- [10]Michal Derezinski, Zhenyu Liao, Edgar Dobriban, and Michael Mahoney. Sparse sketches with small inversion bias. Conference on Learning Theory (COLT). Vol. 134. PMLR, 15–19, Aug 2021, pp.1467–1510..