Publications · Conference paper · NeurIPS 2020
Breaking reversibility accelerates Langevin dynamics for non-convex optimization
Advances in Neural Information Processing Systems (NeurIPS), 33, pp. 17850–17862, 2020.
Cite
@inproceedings{gao2020reversibility,
title = {Breaking reversibility accelerates Langevin dynamics for non-convex optimization},
author = {Xuefeng Gao and Mert Gürbüzbalaban and Lingjiong Zhu},
year = {2020},
booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
volume = {33},
pages = {17850--17862},
url = {https://proceedings.neurips.cc/paper/2020/hash/cebd648f9146a6345d604ab093b02c73-Abstract.html},
note = {arXiv:1812.07725},
}Relatedsame topics