Häse, Florian https://orcid.org/0000-0003-3711-9761
Aldeghi, Matteo https://orcid.org/0000-0003-0019-8806
Hickman, Riley J https://orcid.org/0000-0002-5762-1006
Roch, Loïc M https://orcid.org/0000-0003-1771-2023
Christensen, Melodie
Liles, Elena
Hein, Jason E https://orcid.org/0000-0002-4345-3005
Aspuru-Guzik, Alán https://orcid.org/0000-0002-8277-4434
Funding for this research was provided by:
Jacques-Emile Dubois Student Dissertation Fellowship
Herchel Smith Graduate Fellowship
Natural Sciences and Engineering Research Council of Canada (PGSD3-534584-2019)
Vector Institute for Artificial Intelligence
Defense Advanced Research Projects Agency (HR00111920027)
Office of Naval Research (N00014-19-1-2134)
Article Title: Olympus: a benchmarking framework for noisy optimization and experiment planning
Journal Title: Machine Learning: Science and Technology
Article Type: paper
Copyright Information: © 2021 The Author(s). Published by IOP Publishing Ltd
Publication dates
Date Received: 2020-10-23
Date Accepted: 2021-03-11
Online publication date: 2021-07-12