38 citations · 77 across the 21 of their papers we have counts for
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math.OC2023★ 2 cited
An Overview and Comparison of Spectral Bundle Methods for Primal and Dual Semidefinite Programs
Feng-Yi Liao, Lijun Ding, Yang Zheng
The spectral bundle method developed by Helmberg and Rendl is well-established for solving large-scale semidefinite programs (SDPs) in the dual form, especially when the SDPs admit…
math.OC2023
Sharpness and well-conditioning of nonsmooth convex formulations in statistical signal recovery
Lijun Ding, Alex L. Wang
We study a sample complexity vs. conditioning tradeoff in modern signal recovery problems (including sparse recovery, low-rank matrix sensing, covariance estimation, and abstract p…
cs.LG2023★ 2 cited
Provably Convergent Policy Optimization via Metric-aware Trust Region Methods
Jun Song, Niao He, Lijun Ding +1
Trust-region methods based on Kullback-Leibler divergence are pervasively used to stabilize policy optimization in reinforcement learning. In this paper, we exploit more flexible m…