Scalable Bayesian optimization with high-dimensional outputs using randomized prior networks

14 February 2023

Papers citing "Scalable Bayesian optimization with high-dimensional outputs using randomized prior networks"

3 / 3 papers shown

Title
Multi-fidelity climate model parameterization for better generalization and extrapolation Mohamed Aziz Bhouri Liran Peng Michael S. Pritchard Pierre Gentine AI4CE 26 4 0 19 Sep 2023
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization Benjamin Letham Roberto Calandra Akshara Rai E. Bakshy 73 110 0 31 Jan 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016