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Differentiating the Multipoint Expected Improvement for Optimal Batch Design · Study

WorkDifferentiating the Multipoint Expected Improvement for Optimal Batch Design

Sébastien Marmin2015

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Workgreen2015

Differentiating the Multipoint Expected Improvement for Optimal Batch Design

Sébastien Marmin · Clément Chevalier · David Ginsbourger

39 citations·0/0 files stored·Lecture notes in computer science

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Advanced Bandit Algorithms Research Advanced Multi-Objective Optimization Algorithms Gaussian Processes and Bayesian Inference

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References

2002Finite-time Analysis of the Multiarmed Bandit Problem 2012Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting 2010A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning 2012DiceKriging , DiceOptim : Two R Packages for the Analysis of Computer Experiments by Kriging-Based Metamodeling and Optimization 2011Convergence rates of efficient global optimization algorithms 2008A Knowledge-Gradient Policy for Sequential Information Collection 2000Algorithmic construction of optimal symmetric Latin hypercube designs 1997Computer experiments and global optimization

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Year2015

Typeother

Published2015-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations39

Files0 public / 0

ShelfAdvanced Bandit Algorithms Research

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doi10.1007/978-3-319-27926-8_4

openalex_workW2108048419

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