Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond

23 April 2020

Xiaolin Huang

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 33 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