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stat.ML2026
Efficient Synthetic Network Generation via Latent Embedding Reconstruction
Feifan Jiang, Yinan Bu, Shihao Wu +2
Network data are ubiquitous across the social sciences, biology, and information systems. Generating realistic synthetic network data has broad applications from network simulation…
stat.ML2026
Convexity in Disguise: A Theoretical Framework for Nonconvex Low-Rank Matrix Estimation
Chengyu Cui, Gongjun Xu
Nonconvex methods have emerged as a dominant approach for low-rank matrix estimation, a problem that arises widely in machine learning and AI for learning and representing high-dim…