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cs.AI2026
Adam under Generalized Smoothness with Second-Moment-Type Stochastic Gradients
Ruinan Jin, Difei Cheng, Ling Chen +3
Adam is widely observed to remain stable even when the objective deviates significantly from global smoothness. Under the generalized smoothness framework, however, existing analys…
cs.LG2026
A Decomposition Framework for Certifiably Optimal Orthogonal Sparse PCA
Difei Cheng, Qiao Hu
Sparse Principal Component Analysis (SPCA) is an important technique for high-dimensional data analysis, improving interpretability by imposing sparsity on principal components. Ho…