Advancing Model Pruning via Bi-level Optimization
- Yihua Zhang
- Yuguang Yao
- et al.
- 2022
- NeurIPS 2022
Conference paper
Publications
16 results for Mingyi Hong
A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization
- Songtao Lu
- Siliang Zeng
- et al.
- 2022
- NeurIPS 2022
Conference paperDistributed Adversarial Training to Robustify Deep Neural Networks at Scale
- Gaoyuan Zhang
- Songtao Lu
- et al.
- 2022
- UAI 2022
Conference paperRevisiting and Advancing Fast Adversarial Training Through the Lens of Bi-Level Optimization
- Yihua Zhang
- Guanhua Zhang
- et al.
- 2022
- ICML 2022
Conference paperLinearized ADMM Converges to Second-Order Stationary Points for Non-Convex Problems
- Songtao Lu
- Jason Lee
- et al.
- 2021
- IEEE TSP
PaperFinding second-order stationary points efficiently in smooth nonconvex linearly constrained optimization problems
- Songtao Lu
- Meisam Razaviyayn
- et al.
- 2020
- NeurIPS 2020
Conference paperNonconvex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances
- Meisam Razaviyayn
- Tianjian Huang
- et al.
- 2020
- IEEE SPM
PaperMin-max optimization without gradients: Convergence and applications to black-box evasion and poisoning attacks
- Sijia Liu
- Songtao Lu
- et al.
- 2020
- ICML 2020
Conference paperImproving the sample and communication complexity for decentralized non-convex optimization: Joint gradient estimation and tracking
- Haoran Sun
- Songtao Lu
- et al.
- 2020
- ICML 2020
Conference paperDistributed Learning in the Nonconvex World: From batch data to streaming and beyond
- Tsung Hui Chang
- Mingyi Hong
- et al.
- 2020
- IEEE SPM
Paper