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.
发布时间：2022-02-21
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- 上一条：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.
- 下一条：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.