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Scaling up Kernel Ridge Regression via Locality Sensitive Hashing

Scaling up Kernel Ridge Regression via Locality Sensitive Hashing

21 March 2020
Michael Kapralov
Navid Nouri
Ilya P. Razenshteyn
A. Velingker
A. Zandieh
ArXivPDFHTML

Papers citing "Scaling up Kernel Ridge Regression via Locality Sensitive Hashing"

5 / 5 papers shown
Title
The Neural Process Family: Survey, Applications and Perspectives
The Neural Process Family: Survey, Applications and Perspectives
Saurav Jha
Dong Gong
Xuesong Wang
Richard E. Turner
L. Yao
BDL
73
24
0
01 Sep 2022
Breaking the Linear Iteration Cost Barrier for Some Well-known
  Conditional Gradient Methods Using MaxIP Data-structures
Breaking the Linear Iteration Cost Barrier for Some Well-known Conditional Gradient Methods Using MaxIP Data-structures
Anshumali Shrivastava
Zhao-quan Song
Zhaozhuo Xu
27
28
0
30 Nov 2021
Fast Sketching of Polynomial Kernels of Polynomial Degree
Fast Sketching of Polynomial Kernels of Polynomial Degree
Zhao-quan Song
David P. Woodruff
Zheng Yu
Lichen Zhang
15
40
0
21 Aug 2021
Generalized Leverage Score Sampling for Neural Networks
Generalized Leverage Score Sampling for Neural Networks
J. Lee
Ruoqi Shen
Zhao-quan Song
Mengdi Wang
Zheng Yu
21
42
0
21 Sep 2020
Sharp analysis of low-rank kernel matrix approximations
Sharp analysis of low-rank kernel matrix approximations
Francis R. Bach
86
277
0
09 Aug 2012
1