华中科技大学主页平台管理系统 Zhenyu Liao--Home-- 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.

Zhenyu Liao副研究员（自然科学） Doctoral Degree in Engineering

·Recommended Ph.D.Supervisor ·Recommended MA Supervisor

· Paper Publications

Current position: Home > Scientific Research > Paper Publications

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.

Release time:2022-02-21Hits:

Pre One:: 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.

Next One:: 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.