Efficient Hyperparameter Optimization under Multi-Source Covariate Shift.

Masahiro Nomura|Jinoh Oh|Yuta Saito|Ilhwan Ko|Masahiro Nomura|Jinoh Oh|Ilhwan Ko|Yuta Saito


Anthology ID:DBLP:conf/cikm/NomuraS21
Volume:CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021
Year:2021
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:1376-1385
URL:https://doi.org/10.1145/3459637.3482336
DOI:https://doi.org/10.1145/3459637.3482336
DBLP:conf/cikm/NomuraS21
BibTeX:
@inproceedings{nomura-2021-efficient, author = {Masahiro Nomura and Jinoh Oh and Yuta Saito and Ilhwan Ko and Masahiro Nomura and Jinoh Oh and Ilhwan Ko and Yuta Saito}, editor = {Gianluca Demartini and Guido Zuccon and J. Shane Culpepper and Zi Huang and Hanghang Tong}, title = {{Efficient Hyperparameter Optimization under Multi-Source Covariate Shift}}, booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}}, pages = {1376--1385}, publisher = {ACM}, year = {2021}, url = {https://doi.org/10.1145/3459637.3482336}, doi = {https://doi.org/10.1145/3459637.3482336} }