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.OC2025
Decentralized Optimization over Time-Varying Row-Stochastic Digraphs
Liyuan Liang, Yilong Song, Kun Yuan
Decentralized optimization over directed graphs underlies applications such asrobotic swarms, sensor networks, and distributed learning. In many such systems, the network is a Time…
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…