Cross-Validation--based Adaptive Sampling for Gaussian Process Models
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Publication:5862906
DOI10.1137/21M1404260zbMath1493.62473arXiv2005.01814MaRDI QIDQ5862906
Daniel B. Williamson, Marc Goodfellow, Hossein Mohammadi, Peter G. Challenor
Publication date: 10 March 2022
Published in: SIAM/ASA Journal on Uncertainty Quantification (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2005.01814
Inference from stochastic processes and prediction (62M20) Gaussian processes (60G15) Design of statistical experiments (62K99) Sequential statistical design (62L05)
Uses Software
Cites Work
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- A literature survey of benchmark functions for global optimisation problems
- Accurate emulators for large-scale computer experiments
- Cross-validation for selecting a model selection procedure
- Design of computer experiments: space filling and beyond
- A survey of cross-validation procedures for model selection
- Convergence properties of the expected improvement algorithm with fixed mean and covariance functions
- Multivariate adaptive regression splines
- Efficient global optimization of expensive black-box functions
- Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
- The design and analysis of computer experiments.
- Design and analysis of computer experiments. With comments and a rejoinder by the authors
- Cross validation and maximum likelihood estimations of hyper-parameters of Gaussian processes with model misspecification
- A taxonomy of global optimization methods based on response surfaces
- Pseudo expected improvement criterion for parallel EGO algorithm
- On the Convergence Rates of Expected Improvement Methods
- A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
- A Novel Hybrid Sequential Design Strategy for Global Surrogate Modeling of Computer Experiments
- Universal Prediction Distribution for Surrogate Models
- Diagnostics-Driven Nonstationary Emulators Using Kernel Mixtures
- Approximate leave-future-out cross-validation for Bayesian time series models
- Quantification of Airfoil Geometry-Induced Aerodynamic Uncertainties---Comparison of Approaches
- Convergence rates of efficient global optimization algorithms
- Sequential Design with Mutual Information for Computer Experiments (MICE): Emulation of a Tsunami Model
- Metamodels for computer-based engineering design: Survey and recommendations
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