Aaron M. Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian. SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems. In Andreas Krause 0001, Emma Brunskill, KyungHyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett, editors, International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA. Volume 202 of Proceedings of Machine Learning Research, pages 10034-10052, PMLR, 2023. [doi]
@inproceedings{FerberHZSSDT23,
title = {SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems},
author = {Aaron M. Ferber and Taoan Huang and Daochen Zha and Martin Schubert and Benoit Steiner and Bistra Dilkina and Yuandong Tian},
year = {2023},
url = {https://proceedings.mlr.press/v202/ferber23a.html},
researchr = {https://researchr.org/publication/FerberHZSSDT23},
cites = {0},
citedby = {0},
pages = {10034-10052},
booktitle = {International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA},
editor = {Andreas Krause 0001 and Emma Brunskill and KyungHyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett},
volume = {202},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}