Bias-Free Scalable Gaussian Processes via Randomized Truncations

12 February 2021

Papers citing "Bias-Free Scalable Gaussian Processes via Randomized Truncations"

6 / 6 papers shown

Title
Multi-fidelity Monte Carlo: a pseudo-marginal approach Diana Cai Ryan P. Adams 26 5 0 04 Oct 2022
Posterior and Computational Uncertainty in Gaussian Processes Jonathan Wenger Geoff Pleiss Marvin Pfortner Philipp Hennig John P. Cunningham 80 19 0 30 May 2022
When are Iterative Gaussian Processes Reliably Accurate? Wesley J. Maddox Sanyam Kapoor A. Wilson 35 10 0 31 Dec 2021
Scaling Structured Inference with Randomization Yao Fu John P. Cunningham Mirella Lapata BDL 32 2 0 07 Dec 2021
Barely Biased Learning for Gaussian Process Regression David R. Burt A. Artemev Mark van der Wilk 12 0 0 20 Sep 2021
Preconditioning for Scalable Gaussian Process Hyperparameter Optimization Jonathan Wenger Geoff Pleiss Philipp Hennig John P. Cunningham Jacob R. Gardner 22 24 0 01 Jul 2021