Alkis Gotovos, Rebekka Burkholz, John Quackenbush, Stefanie Jegelka. Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 14580-14592, 2021. [doi]
@inproceedings{GotovosBQJ21,
title = {Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification},
author = {Alkis Gotovos and Rebekka Burkholz and John Quackenbush and Stefanie Jegelka},
year = {2021},
url = {https://proceedings.neurips.cc/paper/2021/hash/7a50d83a1e70e9d96c3357438aed7a44-Abstract.html},
researchr = {https://researchr.org/publication/GotovosBQJ21},
cites = {0},
citedby = {0},
pages = {14580-14592},
booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}