Fast methods for training Gaussian processes on large data sets

5 April 2016

Papers citing "Fast methods for training Gaussian processes on large data sets"

4 / 4 papers shown

Title
Vanilla Bayesian Optimization Performs Great in High Dimensions Carl Hvarfner E. Hellsten Luigi Nardi 32 17 0 03 Feb 2024
LABCAT: Locally adaptive Bayesian optimization using principal-component-aligned trust regions E. Visser C. E. V. Daalen J. C. Schoeman 32 0 0 19 Nov 2023
Model Learning with Personalized Interpretability Estimation (ML-PIE) M. Virgolin A. D. Lorenzo Francesca Randone Eric Medvet M. Wahde 19 29 0 13 Apr 2021
The Promises and Pitfalls of Deep Kernel Learning Sebastian W. Ober C. Rasmussen Mark van der Wilk UQCV BDL 21 107 0 24 Feb 2021