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10/30/2021
A comparison of mixed-variables Bayesian optimization approaches
Most real optimization problems are defined over a mixed search space wh...
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04/27/2021
Active learning of tree tensor networks using optimal least-squares
In this paper, we propose new learning algorithms for approximating high...
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03/25/2021
On the quantification of discretization uncertainty: comparison of two paradigms
Numerical models based on partial differential equations (PDE), or integ...
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12/15/2019
Boosted optimal weighted least-squares
This paper is concerned with the approximation of a function u in a give...
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02/07/2018
Group kernels for Gaussian process metamodels with categorical inputs
Gaussian processes (GP) are widely used as a metamodel for emulating tim...
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12/05/2017