3 papers
math.OC2026
Automating Reformulation for Parallel ADMM
Kaizhao Sun, Baihao Wu, Kun Yuan +1
Many real-world optimization models contain exploitable sparsity and block structure, but this structure is often obscured in algebraic form, limiting the effectiveness of modern p…
math.OC2026
Decentralized Optimization over Time-Varying Row-Stochastic Digraphs
Liyuan Liang, Yilong Song, Kun Yuan
Decentralized optimization over directed graphs is essential for applications such as robotic swarms, sensor networks, and distributed learning. In many practical scenarios, the un…
math.OC2025
Distributed Retraction-Free and Communication-Efficient Optimization on the Stiefel Manifold
Yilong Song, Peijin Li, Bin Gao +1
Optimization problems on the Stiefel manifold, ranging from principal component analysis to enhancing neural network robustness, are ubiquitous in machine learning. The Landing alg…