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Generalization Properties of hyper-RKHS and its Applications

Generalization Properties of hyper-RKHS and its Applications

26 September 2018
Fanghui Liu
Lei Shi
Xiaolin Huang
Jie-jin Yang
Johan A. K. Suykens
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Papers citing "Generalization Properties of hyper-RKHS and its Applications"

4 / 4 papers shown
Title
Learning with Norm Constrained, Over-parameterized, Two-layer Neural
  Networks
Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks
Fanghui Liu
L. Dadi
V. Cevher
82
2
0
29 Apr 2024
Random Features for Kernel Approximation: A Survey on Algorithms,
  Theory, and Beyond
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond
Fanghui Liu
Xiaolin Huang
Yudong Chen
Johan A. K. Suykens
BDL
44
172
0
23 Apr 2020
Learning Low-Dimensional Metrics
Learning Low-Dimensional Metrics
Lalit P. Jain
Blake Mason
Robert D. Nowak
41
37
0
18 Sep 2017
Sharp analysis of low-rank kernel matrix approximations
Sharp analysis of low-rank kernel matrix approximations
Francis R. Bach
86
277
0
09 Aug 2012
1