# Sparse solutions of the kernel herding algorithm by improved gradient approximation

@inproceedings{Tsuji2021SparseSO, title={Sparse solutions of the kernel herding algorithm by improved gradient approximation}, author={Kazuma Tsuji and Ken’ichiro Tanaka}, year={2021} }

The kernel herding algorithm is used to construct quadrature rules in a reproducing kernel Hilbert space (RKHS). While the computational eﬃciency of the algorithm and stability of the output quadrature formulas are advantages of this method, the convergence speed of the integration error for a given number of nodes is slow compared to that of other quadrature methods. In this paper, we propose a modiﬁed kernel herding algorithm whose framework was introduced in a previous study and aim to…

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