Structured adaptive and random spinners for fast machine learning
computations

Structured adaptive and random spinners for fast machine learning computations

19 October 2016

Mariusz Bojarski

A. Choromańska

Francois Fagan

Cédric Gouy-Pailler

Anne Morvan

Jamal Atif

Papers citing "Structured adaptive and random spinners for fast machine learning computations"

6 / 6 papers shown

Title
On the Expressive Power of Self-Attention Matrices Valerii Likhosherstov K. Choromanski Adrian Weller 35 33 0 07 Jun 2021
Towards Unbiased Random Features with Lower Variance For Stationary Indefinite Kernels Qin Luo Kun Fang Jie-jin Yang Xiaolin Huang 13 1 0 13 Apr 2021
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond Fanghui Liu Xiaolin Huang Yudong Chen Johan A. K. Suykens BDL 34 172 0 23 Apr 2020
Generalisation error in learning with random features and the hidden manifold model Federica Gerace Bruno Loureiro Florent Krzakala M. Mézard Lenka Zdeborová 25 165 0 21 Feb 2020
Walsh-Hadamard Variational Inference for Bayesian Deep Learning Simone Rossi Sébastien Marmin Maurizio Filippone BDL 32 14 0 27 May 2019
On Kernel Derivative Approximation with Random Fourier Features Z. Szabó Bharath K. Sriperumbudur 23 12 0 11 Oct 2018