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Low-Precision Random Fourier Features for Memory-Constrained Kernel
  Approximation

Low-Precision Random Fourier Features for Memory-Constrained Kernel Approximation

31 October 2018
Jian Zhang
Avner May
Tri Dao
Christopher Ré
ArXivPDFHTML

Papers citing "Low-Precision Random Fourier Features for Memory-Constrained Kernel Approximation"

4 / 4 papers shown
Title
On The Relative Error of Random Fourier Features for Preserving Kernel
  Distance
On The Relative Error of Random Fourier Features for Preserving Kernel Distance
Kuan Cheng
S. Jiang
Luojian Wei
Zhide Wei
47
1
0
01 Oct 2022
One Loss for Quantization: Deep Hashing with Discrete Wasserstein
  Distributional Matching
One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching
Khoa D. Doan
Peng Yang
Ping Li
MQ
23
37
0
31 May 2022
Random Features for Kernel Approximation: A Survey on Algorithms,
  Theory, and Beyond
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond
Fanghui Liu
Xiaolin Huang
Yudong Chen
Johan A. K. Suykens
BDL
44
172
0
23 Apr 2020
Gaussian Processes with Errors in Variables: Theory and Computation
Gaussian Processes with Errors in Variables: Theory and Computation
Shuang Zhou
D. Pati
Tianying Wang
Yun Yang
R. Carroll
27
3
0
14 Oct 2019
1