Learning hierarchical acquisition functions for bayesian optimization

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Standard

Learning hierarchical acquisition functions for bayesian optimization. / Rottmann, Nils; Kunavar, Tjasa; Babic, Jan et al.
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 5490-5496 9341335 (IEEE International Conference on Intelligent Robots and Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Harvard

Rottmann, N, Kunavar, T, Babic, J, Peters, J & Rueckert, E 2020, Learning hierarchical acquisition functions for bayesian optimization. in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020., 9341335, IEEE International Conference on Intelligent Robots and Systems, Institute of Electrical and Electronics Engineers Inc., pp. 5490-5496, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020, Las Vegas, United States, 24/10/20. https://doi.org/10.1109/IROS45743.2020.9341335

APA

Rottmann, N., Kunavar, T., Babic, J., Peters, J., & Rueckert, E. (2020). Learning hierarchical acquisition functions for bayesian optimization. In 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020 (pp. 5490-5496). Article 9341335 (IEEE International Conference on Intelligent Robots and Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IROS45743.2020.9341335

Vancouver

Rottmann N, Kunavar T, Babic J, Peters J, Rueckert E. Learning hierarchical acquisition functions for bayesian optimization. In 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 5490-5496. 9341335. (IEEE International Conference on Intelligent Robots and Systems). doi: 10.1109/IROS45743.2020.9341335

Author

Rottmann, Nils ; Kunavar, Tjasa ; Babic, Jan et al. / Learning hierarchical acquisition functions for bayesian optimization. 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 5490-5496 (IEEE International Conference on Intelligent Robots and Systems).

Bibtex - Download

@inproceedings{dad8297400f94210a1b4bb8023c06d95,
title = "Learning hierarchical acquisition functions for bayesian optimization",
author = "Nils Rottmann and Tjasa Kunavar and Jan Babic and Jan Peters and Elmar Rueckert",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020 ; Conference date: 24-10-2020 Through 24-01-2021",
year = "2020",
month = oct,
day = "24",
doi = "10.1109/IROS45743.2020.9341335",
language = "English",
series = "IEEE International Conference on Intelligent Robots and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5490--5496",
booktitle = "2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020",
address = "United States",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Learning hierarchical acquisition functions for bayesian optimization

AU - Rottmann, Nils

AU - Kunavar, Tjasa

AU - Babic, Jan

AU - Peters, Jan

AU - Rueckert, Elmar

N1 - Publisher Copyright: © 2020 IEEE.

PY - 2020/10/24

Y1 - 2020/10/24

UR - http://www.scopus.com/inward/record.url?scp=85102413025&partnerID=8YFLogxK

U2 - 10.1109/IROS45743.2020.9341335

DO - 10.1109/IROS45743.2020.9341335

M3 - Conference contribution

AN - SCOPUS:85102413025

T3 - IEEE International Conference on Intelligent Robots and Systems

SP - 5490

EP - 5496

BT - 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020

Y2 - 24 October 2020 through 24 January 2021

ER -

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