Not-So-Random Features

v1v2 (latest)

Not-So-Random Features

27 October 2017

ArXiv (abs)PDF HTML

Papers citing "Not-So-Random Features"

9 / 9 papers shown

Title
Spectraformer: A Unified Random Feature Framework for Transformer Duke Nguyen Du Yin Aditya Joshi Flora D. Salim 69 1 0 24 May 2024
Quantum Adaptive Fourier Features for Neural Density Estimation Joseph A. Gallego-Mejia Fabio A. González 69 9 0 01 Aug 2022
Implicit Bias of MSE Gradient Optimization in Underparameterized Neural Networks Benjamin Bowman Guido Montúfar 106 11 0 12 Jan 2022
On Learning the Transformer Kernel Sankalan Pal Chowdhury Adamos Solomou Kumar Avinava Dubey Mrinmaya Sachan ViT 131 14 0 15 Oct 2021
Learning to Learn Kernels with Variational Random Features Xiantong Zhen Hao Sun Yingjun Du Jun Xu Yilong Yin Ling Shao Cees G. M. Snoek DRL 72 34 0 11 Jun 2020
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond Fanghui Liu Xiaolin Huang Yudong Chen Johan A. K. Suykens BDL 126 176 0 23 Apr 2020
ORCCA: Optimal Randomized Canonical Correlation Analysis Yinsong Wang Shahin Shahrampour 103 5 0 11 Oct 2019
Implicit Kernel Learning Chun-Liang Li Wei-Cheng Chang Youssef Mroueh Yiming Yang Barnabás Póczós VLM 76 42 0 26 Feb 2019
Learning Bounds for Greedy Approximation with Explicit Feature Maps from Multiple Kernels Shahin Shahrampour Vahid Tarokh 41 6 0 09 Oct 2018