Spatial Mapping with Gaussian Processes and Nonstationary Fourier
Features

Spatial Mapping with Gaussian Processes and Nonstationary Fourier Features

15 November 2017

Jean-François Ton

Seth Flaxman

Dino Sejdinovic

Papers citing "Spatial Mapping with Gaussian Processes and Nonstationary Fourier Features"

9 / 9 papers shown

Title
Non-stationary and Sparsely-correlated Multi-output Gaussian Process with Spike-and-Slab Prior Wang Xinming Li Yongxiang Yue Xiaowei Wu Jianguo 31 0 0 05 Sep 2024
Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees Alexander Terenin David R. Burt A. Artemev Seth Flaxman Mark van der Wilk C. Rasmussen Hong Ge 63 7 0 14 Oct 2022
The Inductive Bias of Quantum Kernels Jonas M. Kubler Simon Buchholz Bernhard Schölkopf 24 119 0 07 Jun 2021
Transferring model structure in Bayesian transfer learning for Gaussian process regression Milan Papez A. Quinn 27 11 0 18 Jan 2021
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond Fanghui Liu Xiaolin Huang Yudong Chen Johan A. K. Suykens BDL 51 172 0 23 Apr 2020
Spatial Analysis Made Easy with Linear Regression and Kernels Philip Milton E. Giorgi Samir Bhatt 27 18 0 22 Feb 2019
Neural Non-Stationary Spectral Kernel Sami Remes Markus Heinonen Samuel Kaski BDL 21 9 0 27 Nov 2018
First-order Methods Almost Always Avoid Saddle Points Jason D. Lee Ioannis Panageas Georgios Piliouras Max Simchowitz Michael I. Jordan Benjamin Recht ODL 97 83 0 20 Oct 2017
Variable noise and dimensionality reduction for sparse Gaussian processes Edward Snelson Zoubin Ghahramani 89 79 0 27 Jun 2012