Gargi Roy, Dalia Chakrabarty. Efficient Uncertainty Quantification for Under-Constraint Prediction Following Learning Using MCMC. In Mohammad Tanveer 0001, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt, editors, Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part IV. Volume 1791 of Communications in Computer and Information Science, pages 275-287, Springer, 2022. [doi]
@inproceedings{RoyC22-7,
title = {Efficient Uncertainty Quantification for Under-Constraint Prediction Following Learning Using MCMC},
author = {Gargi Roy and Dalia Chakrabarty},
year = {2022},
doi = {10.1007/978-981-99-1639-9_23},
url = {https://doi.org/10.1007/978-981-99-1639-9_23},
researchr = {https://researchr.org/publication/RoyC22-7},
cites = {0},
citedby = {0},
pages = {275-287},
booktitle = {Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part IV},
editor = {Mohammad Tanveer 0001 and Sonali Agarwal and Seiichi Ozawa and Asif Ekbal and Adam Jatowt},
volume = {1791},
series = {Communications in Computer and Information Science},
publisher = {Springer},
isbn = {978-981-99-1639-9},
}