Spectral Mixture Kernels for Bayesian Optimization

23 May 2025

Papers citing "Spectral Mixture Kernels for Bayesian Optimization"

13 / 13 papers shown

Title
Nonstationary multi-output Gaussian processes via harmonizable spectral mixtures Matias Altamirano Felipe A. Tobar 27 6 0 18 Feb 2022
Value-at-Risk Optimization with Gaussian Processes Q. Nguyen Zhongxiang Dai K. H. Low Patrick Jaillet 46 32 0 13 May 2021
The Minecraft Kernel: Modelling correlated Gaussian Processes in the Fourier domain F. Simpson A. Boukouvalas Václav Cadek E. Sarkans N. Durrande 51 3 0 11 Mar 2021
Robust Model-free Reinforcement Learning with Multi-objective Bayesian Optimization M. Turchetta Andreas Krause Sebastian Trimpe OffRL 57 42 0 29 Oct 2019
Band-Limited Gaussian Processes: The Sinc Kernel Felipe A. Tobar 50 20 0 16 Sep 2019
Practical Multi-fidelity Bayesian Optimization for Hyperparameter Tuning Jian Wu Saul Toscano-Palmerin P. Frazier A. Wilson 67 132 0 12 Mar 2019
Neural Architecture Search with Bayesian Optimisation and Optimal Transport Kirthevasan Kandasamy Willie Neiswanger J. Schneider Barnabás Póczós Eric Xing 112 609 0 11 Feb 2018
Spectral Mixture Kernels for Multi-Output Gaussian Processes Gabriel Parra Felipe A. Tobar 71 79 0 05 Sep 2017
Max-value Entropy Search for Efficient Bayesian Optimization Zi Wang Stefanie Jegelka 178 413 0 06 Mar 2017
Generalized Spectral Kernels Yves-Laurent Kom Samo Stephen J. Roberts 85 57 0 07 Jun 2015
High Dimensional Bayesian Optimisation and Bandits via Additive Models Kirthevasan Kandasamy J. Schneider Barnabás Póczós 95 356 0 05 Mar 2015
Gaussian Process Kernels for Pattern Discovery and Extrapolation A. Wilson Ryan P. Adams GP 103 611 0 18 Feb 2013
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design Niranjan Srinivas Andreas Krause Sham Kakade Matthias Seeger 188 1,627 0 21 Dec 2009