Paper Review Records
All Paper Review Records
10 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
The curse of dimensionality for integration of infinitely differentiable functions
AuthorsEsra Sengelen Sevim
AffiliationsIstanbul Nişantaşı University, Istanbul, Turkey
Fast modular composition using spiroids
AuthorsJoris van der Hoeven; Grégoire Lecerf
AffiliationsLaboratoire d'informatique de l'École polytechnique (LIX, UMR 7161), CNRS, École polytechnique, Institut Polytechnique de Paris, Bâtiment Alan Turing, CS35003, 1, rue Honoré d'Estienne d'Orves, 91120 Palaiseau, France
Sharp convergence bounds for sums of POD and SPOD weights
AuthorsZexin Pan
AffiliationsInstitute of Fundamental and Transdisciplinary Research, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, Zhejiang, China
Convergence analysis of a frozen stochastic iteratively regularized Gauss–Newton method
AuthorsGaurav Mittal
AffiliationsDRDO, Near Metcalfe House, New Delhi, 110054, India
Simultaneous approximation of the score function and its derivatives by deep neural networks
AuthorsKonstantin Yakovlev; Nikita Puchkin
AffiliationsHSE University, Russia
Randomized quasi-Monte Carlo and importance sampling for super-fast growing functions with applications to finance
AuthorsJianlong Chen; Yu Xu; Jiarui Du; Xiaoqun Wang
AffiliationsDepartment of Mathematical Sciences, Tsinghua University, Beijing, 100084, People's Republic of China; School of Mathematics, South China University of Technology, Guangzhou, 510641, People's Republic of China
Higher order iterative method for solving nonlinear ill-posed equations
AuthorsSanthosh George; Muniyasamy M
AffiliationsNational Institute of Technology Karnataka, Surathkal, Karnataka, 575025, India
Quadrature rules with few nodes supported on algebraic curves
AuthorsCordian Riener; Ettore Teixeira Turatti
AffiliationsDepartment of Mathematics and Statistics, UiT - the Arctic University of Norway, 9037 Tromsø, Norway
Sampling recovery on classes defined by integral operators and sparse approximation with adaptive dictionaries
AuthorsV. Temlyakov
AffiliationsUniversity of South Carolina, USA; Steklov Mathematical Institute of Russian Academy of Sciences, Russia; Lomonosov Moscow State University, Russia; Moscow Center of Fundamental and Applied Mathematics, Russia
Fast one-pass sparse approximation of the top eigenvectors of huge approximately low-rank matrices? Yes, MAM⁎!
AuthorsEdem Boahen; Simone Brugiapaglia; Hung-Hsu Chou; Mark Iwen; Felix Krahmer
AffiliationsDepartment of Mathematics, Michigan State University, United States of America; Department of Mathematics and Statistics, Concordia University, Canada; Department of Mathematics, University of Pittsburgh, United States of America; Department of Mathematics, and Department of Computational Mathematics, Science and Engineering (CMSE), Michigan State University, United States of America; Department of Electrical Engineering and Information Technology, Technical University of Darmstadt, Germany; Department of Mathematics, Technical University of Munich, Germany; Munich Center for Machine Learning (MCML), Germany
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