Preprint

• An accelerated proximal bundle method for convex optimization.
  Feng-Yi, Liao, Thomas Madden, and Yang Zheng.
• A Proximal Descent Method for Minimizing Weakly Convex Optimization.
  Feng-Yi, Liao and Yang Zheng.
• A Bundle-based Augmented Lagrangian Framework: Algorithm, Convergence, and Primal-dual Principles.
  Feng-Yi, Liao and Yang Zheng.

Journal paper

• An Overview and Comparison of Spectral Bundle Methods for Primal and Dual Semidefinite Programs.
  Feng-Yi, Liao, Lijun Ding, and Yang Zheng.

Conference paper

• Inexact Augmented Lagrangian Methods for Conic Programs: Quadratic Growth and Linear Convergence.
  Feng-Yi, Liao, Lijun Ding, and Yang Zheng. NeurIPS, 2024.
• Error bounds, pl condition, and quadratic growth for weakly convex functions, and linear convergences of proximal point methods.
  Feng-Yi, Liao, Lijun Ding, and Yang Zheng. L4DC, 2024.
• Iterative inner/outer approximations for scalable semidefinite programs using block factor-width-two matrices.
  Feng-Yi, Liao and Yang Zheng. CDC, 2022.