Function-Space Distributions over Kernels

29 October 2019

Papers citing "Function-Space Distributions over Kernels"

9 / 9 papers shown

Title
Physics Inspired Approaches To Understanding Gaussian Processes Maximilian P. Niroomand L. Dicks Edward O. Pyzer-Knapp D. Wales 70 1 0 18 May 2023
Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes Gregory W. Benton Wesley J. Maddox A. Wilson AI4TS 45 3 0 13 Jul 2022
On Connecting Deep Trigonometric Networks with Deep Gaussian Processes: Covariance, Expressivity, and Neural Tangent Kernel Chi-Ken Lu Patrick Shafto BDL 67 0 0 14 Mar 2022
Modelling Non-Smooth Signals with Complex Spectral Structure W. Bruinsma Martin Tegnér Richard Turner 72 6 0 14 Mar 2022
Spectrum Gaussian Processes Based On Tunable Basis Functions Wenqi Fang Guanlin Wu Jingjing Li Ziyi Wang Jiang Cao Yang Ping 18 0 0 14 Jul 2021
Marginalising over Stationary Kernels with Bayesian Quadrature Saad Hamid Sebastian Schulze Michael A. Osborne Stephen J. Roberts GP 55 4 0 14 Jun 2021
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 137 133 0 14 May 2021
The Statistical Cost of Robust Kernel Hyperparameter Tuning R. A. Meyer Christopher Musco 60 2 0 14 Jun 2020
Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series Feng Yin Lishuo Pan Xinwei He Tianshi Chen Sergios Theodoridis Zhi-Quan Zhi-Quan Luo AI4TS 52 26 0 21 Apr 2019