Linearized ADMM Converges to Second-Order Stationary Points for Non-Convex Problems
- Songtao Lu
- Jason Lee
- et al.
- 2021
- IEEE TSP
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Spectrum Truncation Power Iteration for Agnostic Matrix Phase Retrieval
- Lewis Liu
- Songtao Lu
- et al.
- 2021
- IEEE TSP
Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis
- Gang Wang
- Songtao Lu
- et al.
- 2020
- NeurIPS 2020
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training
- Chia-Yu Chen
- Jiamin Ni
- et al.
- 2020
- NeurIPS 2020
Finding second-order stationary points efficiently in smooth nonconvex linearly constrained optimization problems
- Songtao Lu
- Meisam Razaviyayn
- et al.
- 2020
- NeurIPS 2020
Nonconvex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances
- Meisam Razaviyayn
- Tianjian Huang
- et al.
- 2020
- IEEE SPM
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
Distributed Learning in the Nonconvex World: From batch data to streaming and beyond
- Tsung Hui Chang
- Mingyi Hong
- et al.
- 2020
- IEEE SPM
Decentralized Stochastic Non-Convex Optimization over Weakly Connected Time-Varying Digraphs
- Songtao Lu
- Chai Wah Wu
- 2020
- ICASSP 2020