Feb 13, 2017 · In this paper, we derive novel generalization bounds for the regularized ranking in reproducing kernel Hilbert space via integral operator of ...

To our knowledge, this is the first attempt to use the no- tion of local Rademacher complexity and the eigenvalues of integral operator to derive generalization ...

Novel generalization bounds for the regularized ranking in reproducing kernel Hilbert space via integral operator of kernel function are derived through a ...

Oct 22, 2024 · In this paper, we investigate the generalization performance of a regularized ranking algorithm in a reproducing kernel Hilbert space associated ...

A theorem is proved which gives a generalization bound of a listwise ranking algorithm, on the basis of Rademacher Average of the class of compound ...

Feb 8, 2016 · Intuition behind: Integral operator as generalization of matrix multiplication. So I am teaching myself more in-depth about integral operators ...

A sharper generalization bound usually implies more consistent performances on the training set and the test set. In recent years, some generalization ...

Generalization Analysis for Ranking Using Integral Operator Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang. Proceedings of the 31st AAAI ...

In this paper we develop a novel probabilistic gen- eralization bound for learning the kernel problem. First, we show that the generalization analysis of.

We develop a novel high-probability generalization bound for uniformly-stable algorithms to incorporate the variance information for better generalization, ...