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Higher order scrambled digital nets achieve the optimal rate of the root mean square error for smooth integrands
6 July 2010
J. Dick
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ArXiv (abs)
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Papers citing
"Higher order scrambled digital nets achieve the optimal rate of the root mean square error for smooth integrands"
12 / 12 papers shown
Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos
Di Wang
Xiaotong Liu
Shao-Bo Lin
Ding-Xuan Zhou
253
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0
08 Sep 2023
Low-variance estimation in the Plackett-Luce model via quasi-Monte Carlo sampling
Alexander K. Buchholz
Jan Malte Lichtenberg
Giuseppe Di Benedetto
Yannik Stein
Vito Bellini
M. Ruffini
878
2
0
12 May 2022
Towards a Unified Quadrature Framework for Large-Scale Kernel Machines
Fanghui Liu
Xiaolin Huang
Yudong Chen
Johan A. K. Suykens
370
4
0
03 Nov 2020
On dropping the first Sobol' point
Art B. Owen
466
34
0
18 Aug 2020
Effectively Unbiased FID and Inception Score and where to find them
Computer Vision and Pattern Recognition (CVPR), 2019
Min Jin Chong
David A. Forsyth
EGVM
725
244
0
16 Nov 2019
Unreasonable effectiveness of Monte Carlo
Art B. Owen
91
1
0
18 Jan 2019
Quasi Markov Chain Monte Carlo Methods
Tobias Schwedes
B. Calderhead
443
6
0
29 Jun 2018
Convergence Analysis of Deterministic Kernel-Based Quadrature Rules in Misspecified Settings
Motonobu Kanagawa
Bharath K. Sriperumbudur
Kenji Fukumizu
397
49
0
01 Sep 2017
A randomized Halton algorithm in R
Art B. Owen
71
35
0
09 Jun 2017
Convergence guarantees for kernel-based quadrature rules in misspecified settings
Motonobu Kanagawa
Bharath K. Sriperumbudur
Kenji Fukumizu
354
56
0
24 May 2016
Transformations and Hardy-Krause variation
Kinjal Basu
Art B. Owen
155
27
0
09 Dec 2015
Control Functionals for Quasi-Monte Carlo Integration
Chris J. Oates
Mark Girolami
726
29
0
14 Jan 2015
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