Hierarchical Inducing Point Gaussian Process for Inter-domain Observations

28 February 2021

Papers citing "Hierarchical Inducing Point Gaussian Process for Inter-domain Observations"

8 / 8 papers shown

Title
Neural Operator Variational Inference based on Regularized Stein Discrepancy for Deep Gaussian Processes Jian Xu Shian Du Junmei Yang Qianli Ma Delu Zeng BDL 16 1 0 22 Sep 2023
Latent Graph Inference using Product Manifolds Haitz Sáez de Ocáriz Borde Anees Kazi Federico Barbero Pietro Lio BDL 40 19 0 26 Nov 2022
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard Turner L. Yao BDL 76 24 0 01 Sep 2022
Bézier Gaussian Processes for Tall and Wide Data Martin Jørgensen Michael A. Osborne GP 19 2 0 01 Sep 2022
Variational Nearest Neighbor Gaussian Process Luhuan Wu Geoff Pleiss John P. Cunningham BDL 27 15 0 03 Feb 2022
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels M. Hutchinson Alexander Terenin Viacheslav Borovitskiy So Takao Yee Whye Teh M. Deisenroth 28 20 0 27 Oct 2021
Spatial Multivariate Trees for Big Data Bayesian Regression M. Peruzzi David B. Dunson 6 10 0 02 Dec 2020
A Framework for Interdomain and Multioutput Gaussian Processes Mark van der Wilk Vincent Dutordoir S. T. John A. Artemev Vincent Adam J. Hensman 40 94 0 02 Mar 2020