Lin, T., et al. “Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization”. Advances in Neural Information Processing Systems, vol. 35, 2022, pp. 26160–75, https://proceedings.neurips.cc/paper_files/paper/2022/file/a78f142aec481e68c75276756e0a0d91-Paper-Conference.pdf.
APA
Lin, T., Zheng, Z., & Jordan, M. (2022). Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization. Advances in Neural Information Processing Systems, 35, 26160–26175. https://proceedings.neurips.cc/paper_files/paper/2022/file/a78f142aec481e68c75276756e0a0d91-Paper-Conference.pdf
Chicago
Lin, T., Z. Zheng, and M. Jordan. 2022. “Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization”. Advances in Neural Information Processing Systems 35: 26160–75. https://proceedings.neurips.cc/paper_files/paper/2022/file/a78f142aec481e68c75276756e0a0d91-Paper-Conference.pdf.
Harvard
Lin, T., Zheng, Z. and Jordan, M. (2022) “Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization”, Advances in Neural Information Processing Systems. Curran Associates, Inc., pp. 26160–26175. Available at: https://proceedings.neurips.cc/paper_files/paper/2022/file/a78f142aec481e68c75276756e0a0d91-Paper-Conference.pdf.
Vancouver
1. Lin T, Zheng Z, Jordan M (2022) Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization. In: Advances in Neural Information Processing Systems. Curran Associates, Inc., pp 26160–26175
BibTeX
@inproceedings{lin2022gradient,
title = {Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization},
author = {Lin, Tianyi and Zheng, Zeyu and Jordan, Michael},
year = {2022},
booktitle = {Advances in Neural Information Processing Systems},
publisher = {Curran Associates, Inc.},
volume = {35},
pages = {26160-26175},
url = {https://proceedings.neurips.cc/paper_files/paper/2022/file/a78f142aec481e68c75276756e0a0d91-Paper-Conference.pdf}
}