Quadratures over graphs via the Frank-Wolfe method and its variant
Author:
Affiliation:
1. Department of Mathematical Informatics, Graduate School of Information Science and Technology, The University of Tokyo
Publisher
The Japan Society for Industrial and Applied Mathematics
Subject
General Engineering
Link
https://www.jstage.jst.go.jp/article/jsiaml/14/0/14_41/_pdf
Reference10 articles.
1. 1) A. Cloninger and H. N. Mhaskar, A low discrepancy sequence on graphs, arXiv:2010.04227 [cs.LG], 2020.
2. 2) G. C. Linderman and S. Steinerberger, Numerical integration on graphs: Where to sample and how to weigh, Math. Comput., 89 (2020), 1933-1952.
3. 3) M. Seto, S. Suda and T. Taniguchi, Gram matrices of reproducing kernel Hilbert spaces over graphs, Linear Algebra Appl., 445 (2014), 56-68.
4. 4) P. Wolfe, Convergence theory in nonlinear programming, in: Integer and Nonlinear Programming, pp. 1-36, North Holland, Amsterdam, 1970.
5. 5) S. Lacoste-Julien and M. Jaggi, On the global linear convergence of Frank--Wolfe optimization variants, in: Adv. Neural Inf. Process. Syst., pp. 496-504, Curran Associates, Inc., 2015.
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