Adaptive Inducing Points Selection For Gaussian Processes

21 July 2021

Papers citing "Adaptive Inducing Points Selection For Gaussian Processes"

8 / 8 papers shown

Title
Approximation-Aware Bayesian Optimization Natalie Maus Kyurae Kim Geoff Pleiss David Eriksson John P. Cunningham Jacob R. Gardner 41 2 0 06 Jun 2024
Real-Time Line-Based Room Segmentation and Continuous Euclidean Distance Fields Erik Warberg Adam Miksits Fernando S. Barbosa 3DV 28 0 0 07 Feb 2024
REDUCR: Robust Data Downsampling Using Class Priority Reweighting William Bankes George Hughes Ilija Bogunovic Zi Wang 34 3 0 01 Dec 2023
Latent Graph Inference using Product Manifolds Haitz Sáez de Ocáriz Borde Anees Kazi Federico Barbero Pietro Lio BDL 45 19 0 26 Nov 2022
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 58 7 0 14 Oct 2022
Fully-probabilistic Terrain Modelling with Stochastic Variational Gaussian Process Maps Ignacio Torroba Christopher Iliffe Sprague John Folkesson 16 1 0 21 Mar 2022
Recipes for when Physics Fails: Recovering Robust Learning of Physics Informed Neural Networks Minh Nguyen Luke McLennan T. Andeen Avik Roy PINN 28 27 0 26 Oct 2021
Determinantal point processes for machine learning Alex Kulesza B. Taskar 176 1,125 0 25 Jul 2012