Adapting to Evolving Data: Test-Time Expert Aggregation for Imbalanced Tabular Regression.
Yung-Chien Wang|Kuang-Da Wang|Wei-Yao Wang|Wen-Chih Peng
| Anthology ID: | DBLP:conf/wsdm/WangWWP26 |
|---|---|
| Volume: | Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026 |
| Year: | 2026 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 1268-1272 |
| URL: | https://doi.org/10.1145/3773966.3779390 |
| DOI: | https://doi.org/10.1145/3773966.3779390 |
| DBLP: | conf/wsdm/WangWWP26 |
| BibTeX: |
@inproceedings{wang-2026-adapting,
author = {Yung-Chien Wang and
Kuang-Da Wang and
Wei-Yao Wang and
Wen-Chih Peng},
title = {{Adapting to Evolving Data: Test-Time Expert Aggregation for Imbalanced Tabular Regression}},
booktitle = {{Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026}},
pages = {1268--1272},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3773966.3779390},
doi = {https://doi.org/10.1145/3773966.3779390}
}