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11/21/2022
Active Discrimination Learning for Gaussian Process Models
The paper covers the design and analysis of experiments to discriminate ...
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07/08/2022
Model predictivity assessment: incremental test-set selection and accuracy evaluation
Unbiased assessment of the predictivity of models learnt by supervised m...
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12/20/2021
Quasi-uniform designs with optimal and near-optimal uniformity constant
A design is a collection of distinct points in a given set X, which is a...
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12/10/2021
Validation design I: construction of validation designs via kernel herding
We construct validation designs Z_m aimed at estimating the integrated s...
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06/09/2021
Incremental space-filling design based on coverings and spacings: improving upon low discrepancy sequences
The paper addresses the problem of defining families of ordered sequence...
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01/19/2021
Performance analysis of greedy algorithms for minimising a Maximum Mean Discrepancy
We analyse the performance of several iterative algorithms for the quant...
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04/02/2020
Sequential online subsampling for thinning experimental designs
We consider a design problem where experimental conditions (design point...
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09/05/2018
Bregman divergences based on optimal design criteria and simplicial measures of dispersion
In previous work the authors defined the k-th order simplicial distance ...
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08/31/2018
