scientific article; zbMATH DE number 7415092
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Publication:5159421
Publication date: 27 October 2021
Full work available at URL: https://arxiv.org/abs/2009.03586
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
global optimizationautomated machine learninghyperparameter optimizationcentered discrepancysequential uniform design
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- Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
- Adaptive proposal distribution for random walk Metropolis algorithm
- Model selection for support vector machines via uniform design
- Efficient global optimization of expensive black-box functions
- Tunability
- Algorithmic construction of optimal symmetric Latin hypercube designs.
- Theory and application of uniform experimental designs
- An efficient algorithm for constructing optimal design of computer experiments
- A Novel Hybrid Sequential Design Strategy for Global Surrogate Modeling of Computer Experiments
- A generalized discrepancy and quadrature error bound
- Algorithm 792
- Uniform Design: Theory and Application
- Learning Theory and Kernel Machines
- An adaptive Metropolis algorithm
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