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Online Optimization with Costly and Noisy Measurements using Random
Fourier Expansions

v1v2v3 (latest)

Online Optimization with Costly and Noisy Measurements using Random Fourier Expansions

31 March 2016

ArXiv (abs)PDF HTML

Papers citing "Online Optimization with Costly and Noisy Measurements using Random Fourier Expansions"

4 / 4 papers shown

Optimal Gait Design for a Soft Quadruped Robot via Multi-fidelity
Bayesian Optimization

Optimal Gait Design for a Soft Quadruped Robot via Multi-fidelity Bayesian Optimization

Lei Feng

Martin Törngren

285

7

0

11 Jun 2024

EXPObench: Benchmarking Surrogate-based Optimisation Algorithms on
Expensive Black-box Functions

EXPObench: Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box FunctionsApplied Soft Computing (Appl Soft Comput), 2021

Mathijs de Weerdt

301

20

0

08 Jun 2021

Black-box Mixed-Variable Optimisation using a Surrogate Model that
Satisfies Integer Constraints

Black-box Mixed-Variable Optimisation using a Surrogate Model that Satisfies Integer Constraints

Mathijs de Weerdt

232

23

0

08 Jun 2020

Black-box Combinatorial Optimization using Models with Integer-valued
Minima

Black-box Combinatorial Optimization using Models with Integer-valued MinimaAnnals of Mathematics and Artificial Intelligence (AMAI), 2019

Mathijs de Weerdt

157

19

0

20 Nov 2019

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