Multi-Fidelity Bayesian Optimization via Deep Neural Networks

6 July 2020

Papers citing "Multi-Fidelity Bayesian Optimization via Deep Neural Networks"

9 / 9 papers shown

Title
Graph Laplacian-based Bayesian Multi-fidelity Modeling Orazio Pinti Jeremy M. Budd Franca Hoffmann Assad A. Oberai 37 1 0 12 Sep 2024
Active Learning for Neural PDE Solvers Daniel Musekamp Marimuthu Kalimuthu David Holzmüller Makoto Takamoto Carlos Fernandez AI4CE 57 4 0 02 Aug 2024
Global Safe Sequential Learning via Efficient Knowledge Transfer Cen-You Li Olaf Duennbier Marc Toussaint Barbara Rakitsch Christoph Zimmer 52 2 0 22 Feb 2024
A few-shot graph Laplacian-based approach for improving the accuracy of low-fidelity data Orazio Pinti Assad A. Oberai 23 0 0 29 Mar 2023
Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry A. Maurais Terrence Alsup Benjamin Peherstorfer Youssef Marzouk 28 7 0 31 Jan 2023
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources P. Mikkola Julien Martinelli Louis Filstroff Samuel Kaski 32 10 0 25 Oct 2022
Multi-fidelity Monte Carlo: a pseudo-marginal approach Diana Cai Ryan P. Adams 23 5 0 04 Oct 2022
Multifidelity Reinforcement Learning with Control Variates Sami Khairy Prasanna Balaprakash OffRL 28 5 0 10 Jun 2022
Max-value Entropy Search for Efficient Bayesian Optimization Zi Wang Stefanie Jegelka 110 403 0 06 Mar 2017