82 citations · 243 across the 24 of their papers we have counts for
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stat.ML2017★ 4 cited
Finite-dimensional Gaussian approximation with linear inequality constraints
Andrés F. López-Lopera, François Bachoc, Nicolas Durrande +1
Introducing inequality constraints in Gaussian process (GP) models can lead to more realistic uncertainties in learning a great variety of real-world problems. We consider the fini…
math.ST2017★ 6 cited
Properties and comparison of some Kriging sub-model aggregation methods
François Bachoc, Nicolas Durrande, Didier Rullière +1
Kriging is a widely employed technique, in particular for computer experiments, in machine learning or in geostatistics. An important challenge for Kriging is the computational bur…