184 citations · 318 across the 26 of their papers we have counts for
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stat.ME2016★ 184 cited
Practical heteroskedastic Gaussian process modeling for large simulation experiments
Mickael Binois, Robert B. Gramacy, Michael Ludkovski
We present a unified view of likelihood based Gaussian progress regression for simulation experiments exhibiting input-dependent noise. Replication plays an important role in that…
stat.ML2016
A Bayesian optimization approach to find Nash equilibria
Victor Picheny, Mickael Binois, Abderrahmane Habbal
Game theory finds nowadays a broad range of applications in engineering and machine learning. However, in a derivative-free, expensive black-box context, very few algorithmic solut…