Krishna Balasubramanian, Sinho Chewi, Murat A. Erdogdu, Adil Salim, Shunshi Zhang 0001. Towards a Theory of Non-Log-Concave Sampling: First-Order Stationarity Guarantees for Langevin Monte Carlo. In Po-Ling Loh, Maxim Raginsky, editors, Conference on Learning Theory, 2-5 July 2022, London, UK. Volume 178 of Proceedings of Machine Learning Research, pages 2896-2923, PMLR, 2022. [doi]
@inproceedings{Balasubramanian22-11,
title = {Towards a Theory of Non-Log-Concave Sampling: First-Order Stationarity Guarantees for Langevin Monte Carlo},
author = {Krishna Balasubramanian and Sinho Chewi and Murat A. Erdogdu and Adil Salim and Shunshi Zhang 0001},
year = {2022},
url = {https://proceedings.mlr.press/v178/balasubramanian22a.html},
researchr = {https://researchr.org/publication/Balasubramanian22-11},
cites = {0},
citedby = {0},
pages = {2896-2923},
booktitle = {Conference on Learning Theory, 2-5 July 2022, London, UK},
editor = {Po-Ling Loh and Maxim Raginsky},
volume = {178},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}