Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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16 results for Mingyi Hong

Finding second-order stationary points efficiently in smooth nonconvex linearly constrained optimization problems
- - Songtao Lu
  - Meisam Razaviyayn
  - et al.
- 2020
- NeurIPS 2020
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