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Analysis of regularized Nyström subsampling for regression functions
  of low smoothness

Analysis of regularized Nyström subsampling for regression functions of low smoothness

3 June 2018
Shuai Lu
Peter Mathé
S. Pereverzyev
ArXiv (abs)PDFHTML

Papers citing "Analysis of regularized Nyström subsampling for regression functions of low smoothness"

9 / 9 papers shown
Title
Convergence Analysis of regularised Nyström method for Functional
  Linear Regression
Convergence Analysis of regularised Nyström method for Functional Linear Regression
Naveen Gupta
Sivananthan Sampath
86
0
0
25 Oct 2024
Optimal Kernel Quantile Learning with Random Features
Optimal Kernel Quantile Learning with Random Features
Caixing Wang
Xingdong Feng
148
1
0
24 Aug 2024
Adaptive Parameter Selection for Kernel Ridge Regression
Adaptive Parameter Selection for Kernel Ridge Regression
Shao-Bo Lin
26
3
0
10 Dec 2023
On regularized Radon-Nikodym differentiation
On regularized Radon-Nikodym differentiation
Duc Hoan Nguyen
Werner Zellinger
S. Pereverzyev
46
7
0
15 Aug 2023
General regularization in covariate shift adaptation
General regularization in covariate shift adaptation
Hoan Duc Nguyen
S. Pereverzyev
Werner Zellinger
41
1
0
21 Jul 2023
Sketching with Spherical Designs for Noisy Data Fitting on Spheres
Sketching with Spherical Designs for Noisy Data Fitting on Spheres
Shao-Bo Lin
Di Wang
Ding-Xuan Zhou
57
2
0
08 Mar 2023
Nyström Regularization for Time Series Forecasting
Nyström Regularization for Time Series Forecasting
Zirui Sun
Mingwei Dai
Yao Wang
Shao-Bo Lin
AI4TS
73
2
0
13 Nov 2021
Kernel Conjugate Gradient Methods with Random Projections
Kernel Conjugate Gradient Methods with Random Projections
Bailey Kacsmar
Douglas R Stinson
56
4
0
05 Nov 2018
The Goldenshluger-Lepski Method for Constrained Least-Squares Estimators
  over RKHSs
The Goldenshluger-Lepski Method for Constrained Least-Squares Estimators over RKHSs
Stephen Page
Steffen Grunewalder
23
5
0
02 Nov 2018
1