Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Proceedings of the International conference on Learning Representation (ICLR) |
| Publikationsstatus | Veröffentlicht - 2022 |
| Veranstaltung | The Tenth International Conference on Learning Representations - virtuell, virtuell Dauer: 25 Apr. 2022 → 29 Apr. 2022 Konferenznummer: 10 |
Zitieren
- Standard
- Harvard
- Apa
- Vancouver
- BibTex
- RIS
π BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization. / Hvarfner, Carl; Stoll, Danny; Souza, Artur L. F. et al.
Proceedings of the International conference on Learning Representation (ICLR). 2022.
Proceedings of the International conference on Learning Representation (ICLR). 2022.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung
Hvarfner, C, Stoll, D, Souza, ALF, Lindauer, M, Hutter, F & Nardi, L 2022, π BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization. in Proceedings of the International conference on Learning Representation (ICLR). The Tenth International Conference on Learning Representations, virtuell, 25 Apr. 2022. https://doi.org/10.48550/arXiv.2204.11051
Hvarfner, C., Stoll, D., Souza, A. L. F., Lindauer, M., Hutter, F., & Nardi, L. (2022). π BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization. In Proceedings of the International conference on Learning Representation (ICLR) https://doi.org/10.48550/arXiv.2204.11051
Hvarfner C, Stoll D, Souza ALF, Lindauer M, Hutter F, Nardi L. π BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization. in Proceedings of the International conference on Learning Representation (ICLR). 2022 doi: 10.48550/arXiv.2204.11051
Download
@inproceedings{07467048b7134457b21ca1b2581ac6d3,
title = "π BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization.",
author = "Carl Hvarfner and Danny Stoll and Souza, {Artur L. F.} and Marius Lindauer and Frank Hutter and Luigi Nardi",
note = "Funding Information: Luigi Nardi was supported in part by affiliate members and other supporters of the Stanford DAWN project — Ant Financial, Facebook, Google, Intel, Microsoft, NEC, SAP, Teradata, and VMware. Carl Hvarfner and Luigi Nardi were partially supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP) funded by the Knut and Alice Wallenberg Foundation. Artur Souza was supported by CAPES, CNPq, and FAPEMIG. Frank Hutter acknowledges support by the European Research Council (ERC) under the European Union Horizon 2020 research and innovation programme through grant no. 716721, through TAILOR, a project funded by the EU Horizon 2020 research and innovation programme under GA No 952215, by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under grant number 417962828 and by the state of Baden- W{\"u}rttemberg through bwHPC and the German Research Foundation (DFG) through grant no INST 39/963-1 FUGG. Marius Lindauer acknowledges support by the European Research Council (ERC) under the Europe Horizon programme. The computations were also enabled by resources provided by the Swedish National Infrastructure for Computing (SNIC) at LUNARC partially funded by the Swedish Research Council through grant agreement no. 2018-05973.; The Tenth International Conference on Learning Representations, ICLR 2022 ; Conference date: 25-04-2022 Through 29-04-2022",
year = "2022",
doi = "10.48550/arXiv.2204.11051",
language = "English",
booktitle = "Proceedings of the International conference on Learning Representation (ICLR)",
}
Download
TY - GEN
T1 - π BO
T2 - The Tenth International Conference on Learning Representations
AU - Hvarfner, Carl
AU - Stoll, Danny
AU - Souza, Artur L. F.
AU - Lindauer, Marius
AU - Hutter, Frank
AU - Nardi, Luigi
N1 - Conference code: 10
PY - 2022
Y1 - 2022
U2 - 10.48550/arXiv.2204.11051
DO - 10.48550/arXiv.2204.11051
M3 - Conference contribution
BT - Proceedings of the International conference on Learning Representation (ICLR)
Y2 - 25 April 2022 through 29 April 2022
ER -