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stat.ML2019
Sequential Learning of Active Subspaces
Nathan Wycoff, Mickael Binois, Stefan M. Wild
In recent years, active subspace methods (ASMs) have become a popular means of performing subspace sensitivity analysis on black-box functions. Naively applied, however, ASMs requi…
math.OC2019
The Kalai-Smorodinski solution for many-objective Bayesian optimization
Mickaël Binois, Victor Picheny, Patrick Taillandier +1
An ongoing aim of research in multiobjective Bayesian optimization is to extend its applicability to a large number of objectives. While coping with a limited budget of evaluations…