华中科技大学主页平台管理系统 Zhenyu Liao--Home-- 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.

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

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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.

Release time:2022-02-21Hits:

Pre One:: 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.

Next One:: Zhenyu Liao, Romain Couillet, and Michael W. Mahoney. Sparse Quantized Spectral Clustering. International Conference on Learning Representations (ICLR). 2021.