Finding second-order stationary points efficiently in smooth nonconvex linearly constrained optimization problems
- Songtao Lu
- Meisam Razaviyayn
- et al.
- 2020
- NeurIPS 2020
Publications
Date
Featured collections
Popular topics
16 results for Mingyi Hong
Min-max optimization without gradients: Convergence and applications to black-box evasion and poisoning attacks
- Sijia Liu
- Songtao Lu
- et al.
- 2020
- ICML 2020
Improving the sample and communication complexity for decentralized non-convex optimization: Joint gradient estimation and tracking
- Haoran Sun
- Songtao Lu
- et al.
- 2020
- ICML 2020
Advancing Model Pruning via Bi-level Optimization
- Yihua Zhang
- Yuguang Yao
- et al.
- 2022
- NeurIPS 2022
A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization
- Songtao Lu
- Siliang Zeng
- et al.
- 2022
- NeurIPS 2022
Revisiting and Advancing Fast Adversarial Training Through the Lens of Bi-Level Optimization
- Yihua Zhang
- Guanhua Zhang
- et al.
- 2022
- ICML 2022
ZO-AdaMM: Zeroth-order adaptive momentum method for black-box optimization
- Xiangyi Chen
- Sijia Liu
- et al.
- 2019
- NeurIPS 2019
On the convergence of a class of Adam-type algorithms for non-convex optimization
- Xiangyi Chen
- Sijia Liu
- et al.
- 2019
- ICLR 2019
SignsGD via zeroth-order oracle
- Sijia Liu
- Pin-Yu Chen
- et al.
- 2019
- ICLR 2019
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale
- Gaoyuan Zhang
- Songtao Lu
- et al.
- 2022
- UAI 2022