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On Data-Dependent Random Features for Improved Generalization in Supervised Learning

On Data-Dependent Random Features for Improved Generalization in Supervised Learning

Shahin Shahrampour
Ahmad Beirami
Vahid Tarokh
ArXiv (abs)PDFHTML

Papers citing "On Data-Dependent Random Features for Improved Generalization in Supervised Learning"

7 / 7 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
90
1
0
01 Oct 2022
Coded Computing for Low-Latency Federated Learning over Wireless Edge Networks
Coded Computing for Low-Latency Federated Learning over Wireless Edge Networks
Saurav Prakash
S. Dhakal
M. Akdeniz
Yair Yona
S. Talwar
Salman Avestimehr
N. Himayat
FedML
127
93
0
12 Nov 2020
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
124
176
0
23 Apr 2020
RFN: A Random-Feature Based Newton Method for Empirical Risk Minimization in Reproducing Kernel Hilbert Spaces
RFN: A Random-Feature Based Newton Method for Empirical Risk Minimization in Reproducing Kernel Hilbert Spaces
Ting-Jui Chang
Shahin Shahrampour
47
2
0
12 Feb 2020
Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features
Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features
Liang Ding
Rui Tuo
Shahin Shahrampour
41
8
0
11 Feb 2020
Self-guided Approximate Linear Programs
Self-guided Approximate Linear Programs
Parshan Pakiman
Selvaprabu Nadarajah
Negar Soheili
Qihang Lin
16
3
0
09 Jan 2020
ORCCA: Optimal Randomized Canonical Correlation Analysis
ORCCA: Optimal Randomized Canonical Correlation Analysis
Yinsong Wang
Shahin Shahrampour
94
5
0
11 Oct 2019