245 citations · 545 across the 13 of their papers we have counts for
15 papers
Active Discrimination Learning for Gaussian Process Models
Elham Yousefi, Luc Pronzato, Markus Hainy +2
The paper covers the design and analysis of experiments to discriminate between two Gaussian process models, such as those widely used in computer experiments, kriging, sensor loca…
Model predictivity assessment: incremental test-set selection and accuracy evaluation
Elias Fekhari, Bertrand Iooss, Joseph Muré +2
Unbiased assessment of the predictivity of models learnt by supervised machine-learning methods requires knowledge of the learned function over a reserved test set (not used by the…
Quasi-uniform designs with optimal and near-optimal uniformity constant
Luc Pronzato, Anatoly Zhigljavsky
A design is a collection of distinct points in a given set , which is assumed to be a compact subset of , and the mesh-ratio of a design is the ratio of its fill distance t…
Validation design I: construction of validation designs via kernel herding
Luc Pronzato, Maria-João Rendas
We construct validation designs aimed at estimating the integrated squared prediction error of a given design . Our approach is based on the minimization of a maximum me…
Incremental space-filling design based on coverings and spacings: improving upon low discrepancy sequences
Amaya Nogales Gómez, Luc Pronzato, Maria-João Rendas
The paper addresses the problem of defining families of ordered sequences of elements of a compact subset of whose prefixes , fo…
Performance analysis of greedy algorithms for minimising a Maximum Mean Discrepancy
Luc Pronzato
We analyse the performance of several iterative algorithms for the quantisation of a probability measure , based on the minimisation of a Maximum Mean Discrepancy (MMD). Our ana…