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2004.11154
Cited By
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond
23 April 2020
Fanghui Liu
Xiaolin Huang
Yudong Chen
Johan A. K. Suykens
BDL
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Papers citing
"Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond"
21 / 21 papers shown
Title
A Sparse Bayesian Learning Algorithm for Estimation of Interaction Kernels in Motsch-Tadmor Model
Jinchao Feng
Sui Tang
21
0
0
11 May 2025
Optimal Bayesian Affine Estimator and Active Learning for the Wiener Model
Sasan Vakili
Manuel Mazo Jr.
Peyman Mohajerin Esfahani
16
0
0
07 Apr 2025
Training Hybrid Neural Networks with Multimode Optical Nonlinearities Using Digital Twins
Ilker Oguz
Louis J. E. Suter
J. Hsieh
Mustafa Yildirim
Niyazi Ulaş Dinç
Christophe Moser
D. Psaltis
48
2
0
14 Jan 2025
Optimal Kernel Quantile Learning with Random Features
Caixing Wang
Xingdong Feng
32
0
0
24 Aug 2024
On the choice of the non-trainable internal weights in random feature maps
Pinak Mandal
Georg Gottwald
Nicholas Cranch
TPM
35
1
0
07 Aug 2024
Hyperparameter Optimization for Randomized Algorithms: A Case Study on Random Features
Oliver R. A. Dunbar
Nicholas H. Nelsen
Maya Mutic
23
5
0
30 Jun 2024
Boosting Nyström Method
Keaton Hamm
Zhaoying Lu
Wenbo Ouyang
Hao Helen Zhang
11
0
0
21 Feb 2023
Precise Asymptotic Analysis of Deep Random Feature Models
David Bosch
Ashkan Panahi
B. Hassibi
25
19
0
13 Feb 2023
LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly Detection
Joseph A. Gallego-Mejia
Oscar A. Bustos-Brinez
Fabio A. González
32
2
0
15 Nov 2022
Provably Reliable Large-Scale Sampling from Gaussian Processes
Anthony Stephenson
Robert Allison
Edward O. Pyzer-Knapp
14
2
0
15 Nov 2022
Gradient-enhanced deep neural network approximations
Xiaodong Feng
Li Zeng
UQCV
13
5
0
08 Nov 2022
LARF: Two-level Attention-based Random Forests with a Mixture of Contamination Models
A. Konstantinov
Lev V. Utkin
25
0
0
11 Oct 2022
On The Relative Error of Random Fourier Features for Preserving Kernel Distance
Kuan Cheng
S. Jiang
Luojian Wei
Zhide Wei
28
1
0
01 Oct 2022
Random Fourier Features for Asymmetric Kernels
Ming-qian He
Fan He
Fanghui Liu
Xiaolin Huang
12
3
0
18 Sep 2022
Generalized Leverage Scores: Geometric Interpretation and Applications
Bruno Ordozgoiti
Antonis Matakos
A. Gionis
22
4
0
16 Jun 2022
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness
J. Liu
Shreyas Padhy
Jie Jessie Ren
Zi Lin
Yeming Wen
Ghassen Jerfel
Zachary Nado
Jasper Snoek
Dustin Tran
Balaji Lakshminarayanan
UQCV
BDL
16
48
0
01 May 2022
Concentration of Random Feature Matrices in High-Dimensions
Zhijun Chen
Hayden Schaeffer
Rachel A. Ward
15
6
0
14 Apr 2022
Local Random Feature Approximations of the Gaussian Kernel
Jonas Wacker
Maurizio Filippone
11
3
0
12 Apr 2022
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime
Stéphane dÁscoli
Maria Refinetti
Giulio Biroli
Florent Krzakala
83
152
0
02 Mar 2020
Structured adaptive and random spinners for fast machine learning computations
Mariusz Bojarski
A. Choromańska
K. Choromanski
Francois Fagan
Cédric Gouy-Pailler
Anne Morvan
Nourhan Sakr
Tamás Sarlós
Jamal Atif
25
35
0
19 Oct 2016
Sharp analysis of low-rank kernel matrix approximations
Francis R. Bach
75
278
0
09 Aug 2012
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