1 code implementation • 5 Oct 2023 • Erik Orm Hellsten, Carl Hvarfner, Leonard Papenmeier, Luigi Nardi
We propose a group testing approach to identify active variables to facilitate efficient optimization in these domains.
1 code implementation • NeurIPS 2023 • Leonard Papenmeier, Luigi Nardi, Matthias Poloczek
Impactful applications such as materials discovery, hardware design, neural architecture search, or portfolio optimization require optimizing high-dimensional black-box functions with mixed and combinatorial input spaces.
2 code implementations • 22 Apr 2023 • Leonard Papenmeier, Luigi Nardi, Matthias Poloczek
Recent advances have extended the scope of Bayesian optimization (BO) to expensive-to-evaluate black-box functions with dozens of dimensions, aspiring to unlock impactful applications, for example, in the life sciences, neural architecture search, and robotics.