Error Analysis of Generalized Nyström Kernel Regression

NeurIPS 2016 Hong ChenHaifeng XiaHeng HuangWeidong Cai

Nystr\"{o}m method has been used successfully to improve the computational efficiency of kernel ridge regression (KRR). Recently, theoretical analysis of Nystr\"{o}m KRR, including generalization bound and convergence rate, has been established based on reproducing kernel Hilbert space (RKHS) associated with the symmetric positive semi-definite kernel... (read more)

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