Scalable Cross Validation Losses for Gaussian Process Models

24 May 2021

Papers citing "Scalable Cross Validation Losses for Gaussian Process Models"

6 / 6 papers shown

Title
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference Jonathan Wenger Kaiwen Wu Philipp Hennig Jacob R. Gardner Geoff Pleiss John P. Cunningham 32 5 0 01 Nov 2024
On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models Tong Ye Shijing Si Jianzong Wang Ning Cheng Zhitao Li Jing Xiao 71 2 0 15 Mar 2023
Variational Nearest Neighbor Gaussian Process Luhuan Wu Geoff Pleiss John P. Cunningham BDL 25 15 0 03 Feb 2022
Gaussian Process Inference Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits Hao Chen Lili Zheng Raed Al Kontar Garvesh Raskutti 20 3 0 19 Nov 2021
Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes Hugh Dance Brooks Paige GP 20 10 0 08 Nov 2021
Local Gaussian process approximation for large computer experiments R. Gramacy D. Apley 127 391 0 02 Mar 2013