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A General Framework for Multi-fidelity Bayesian Optimization with
  Gaussian Processes

A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes

2 November 2018
Jialin Song
Yuxin Chen
Yisong Yue
ArXivPDFHTML

Papers citing "A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes"

30 / 30 papers shown
Title
Multi-Fidelity Bayesian Optimization for Nash Equilibria with Black-Box Utilities
Multi-Fidelity Bayesian Optimization for Nash Equilibria with Black-Box Utilities
Yunchuan Zhang
Osvaldo Simeone
H. Vincent Poor
27
0
0
16 May 2025
An adaptive approach to Bayesian Optimization with switching costs
An adaptive approach to Bayesian Optimization with switching costs
Stefan Pricopie
Richard Allmendinger
Manuel López-Ibánez
Clyde Fare
Matt Benatan
Joshua D. Knowles
21
0
0
14 May 2024
Network Cascade Vulnerability using Constrained Bayesian Optimization
Network Cascade Vulnerability using Constrained Bayesian Optimization
Albert Y. S. Lam
M. Anitescu
A. Subramanyam
24
0
0
27 Apr 2023
Robust Bayesian Target Value Optimization
Robust Bayesian Target Value Optimization
J. G. Hoffer
Sascha Ranftl
Bernhard C. Geiger
28
9
0
11 Jan 2023
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources
P. Mikkola
Julien Martinelli
Louis Filstroff
Samuel Kaski
38
10
0
25 Oct 2022
Movement Penalized Bayesian Optimization with Application to Wind Energy
  Systems
Movement Penalized Bayesian Optimization with Application to Wind Energy Systems
Shyam Sundhar Ramesh
Pier Giuseppe Sessa
Andreas Krause
Ilija Bogunovic
16
12
0
14 Oct 2022
Joint Entropy Search for Multi-objective Bayesian Optimization
Joint Entropy Search for Multi-objective Bayesian Optimization
Ben Tu
Axel Gandy
N. Kantas
B. Shafei
27
38
0
06 Oct 2022
Multi-fidelity Monte Carlo: a pseudo-marginal approach
Multi-fidelity Monte Carlo: a pseudo-marginal approach
Diana Cai
Ryan P. Adams
26
5
0
04 Oct 2022
A Principled Method for the Creation of Synthetic Multi-fidelity Data
  Sets
A Principled Method for the Creation of Synthetic Multi-fidelity Data Sets
Clyde Fare
Peter Fenner
Edward O. Pyzer-Knapp
25
2
0
11 Aug 2022
Recent Advances in Bayesian Optimization
Recent Advances in Bayesian Optimization
Xilu Wang
Yaochu Jin
Sebastian Schmitt
Markus Olhofer
40
200
0
07 Jun 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Jack Parker-Holder
Raghunandan Rajan
Xingyou Song
André Biedenkapp
Yingjie Miao
...
Vu-Linh Nguyen
Roberto Calandra
Aleksandra Faust
Frank Hutter
Marius Lindauer
AI4CE
33
100
0
11 Jan 2022
Output Space Entropy Search Framework for Multi-Objective Bayesian
  Optimization
Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization
Syrine Belakaria
Aryan Deshwal
J. Doppa
26
16
0
13 Oct 2021
Non-smooth Bayesian Optimization in Tuning Problems
Non-smooth Bayesian Optimization in Tuning Problems
Hengrui Luo
J. Demmel
Younghyun Cho
Xin Li
Yang Liu
25
13
0
15 Sep 2021
Searching for More Efficient Dynamic Programs
Searching for More Efficient Dynamic Programs
Tim Vieira
Ryan Cotterell
Jason Eisner
26
3
0
14 Sep 2021
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems
  for HPO
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO
Katharina Eggensperger
Philip Muller
Neeratyoy Mallik
Matthias Feurer
René Sass
Aaron Klein
Noor H. Awad
Marius Lindauer
Frank Hutter
46
100
0
14 Sep 2021
HyperJump: Accelerating HyperBand via Risk Modelling
HyperJump: Accelerating HyperBand via Risk Modelling
Pedro Mendes
Maria Casimiro
Paolo Romano
David Garlan
22
8
0
05 Aug 2021
Lookahead Acquisition Functions for Finite-Horizon Time-Dependent
  Bayesian Optimization and Application to Quantum Optimal Control
Lookahead Acquisition Functions for Finite-Horizon Time-Dependent Bayesian Optimization and Application to Quantum Optimal Control
Sudharshan Ashwin Renganathan
Jeffrey Larson
Stefan M. Wild
23
7
0
20 May 2021
Discovering Diverse Athletic Jumping Strategies
Discovering Diverse Athletic Jumping Strategies
Zhiqi Yin
Zeshi Yang
M. van de Panne
KangKang Yin
42
46
0
02 May 2021
Neural fidelity warping for efficient robot morphology design
Neural fidelity warping for efficient robot morphology design
Sha Hu
Zeshi Yang
Greg Mori
55
4
0
08 Dec 2020
Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space
  Entropy Search Approach
Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach
Syrine Belakaria
Aryan Deshwal
J. Doppa
8
41
0
02 Nov 2020
Multi-fidelity Neural Architecture Search with Knowledge Distillation
Multi-fidelity Neural Architecture Search with Knowledge Distillation
I. Trofimov
Nikita Klyuchnikov
Mikhail Salnikov
Alexander N. Filippov
Evgeny Burnaev
32
15
0
15 Jun 2020
Bayesian optimization for modular black-box systems with switching costs
Bayesian optimization for modular black-box systems with switching costs
Chi-Heng Lin
Joseph D. Miano
Eva L. Dyer
8
5
0
04 Jun 2020
Corruption-Tolerant Gaussian Process Bandit Optimization
Corruption-Tolerant Gaussian Process Bandit Optimization
Ilija Bogunovic
Andreas Krause
Jonathan Scarlett
32
51
0
04 Mar 2020
Achieving Robustness to Aleatoric Uncertainty with Heteroscedastic
  Bayesian Optimisation
Achieving Robustness to Aleatoric Uncertainty with Heteroscedastic Bayesian Optimisation
Ryan-Rhys Griffiths
Alexander A. Aldrick
Miguel García-Ortegón
Vidhi R. Lalchand
A. Lee
31
35
0
17 Oct 2019
Tuning Hyperparameters without Grad Students: Scalable and Robust
  Bayesian Optimisation with Dragonfly
Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly
Kirthevasan Kandasamy
Karun Raju Vysyaraju
Willie Neiswanger
Biswajit Paria
Christopher R. Collins
J. Schneider
Barnabás Póczós
Eric Xing
29
174
0
15 Mar 2019
Multi-fidelity Bayesian Optimization with Max-value Entropy Search and
  its parallelization
Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its parallelization
Shion Takeno
H. Fukuoka
Yuhki Tsukada
T. Koyama
M. Shiga
Ichiro Takeuchi
Masayuki Karasuyama
21
40
0
24 Jan 2019
Max-value Entropy Search for Efficient Bayesian Optimization
Max-value Entropy Search for Efficient Bayesian Optimization
Zi Wang
Stefanie Jegelka
110
404
0
06 Mar 2017
Truncated Variance Reduction: A Unified Approach to Bayesian
  Optimization and Level-Set Estimation
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation
Ilija Bogunovic
Jonathan Scarlett
Andreas Krause
V. Cevher
72
89
0
24 Oct 2016
Multi-fidelity Gaussian Process Bandit Optimisation
Multi-fidelity Gaussian Process Bandit Optimisation
Kirthevasan Kandasamy
Gautam Dasarathy
Junier B. Oliva
J. Schneider
Barnabás Póczós
14
76
0
20 Mar 2016
Recursive co-kriging model for Design of Computer experiments with
  multiple levels of fidelity with an application to hydrodynamic
Recursive co-kriging model for Design of Computer experiments with multiple levels of fidelity with an application to hydrodynamic
Loic Le Gratiet
AI4CE
88
292
0
02 Oct 2012
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