Self-Representation Based Unsupervised Exemplar Selection in a Union of Subsp…
Finding a small set of representatives from an unlabeled dataset is a core problem in a broad range of applications such as dataset summarization and information extraction. Classical exemplar sele…
A Subspace Acceleration Method for Minimization Involving a Group Sparsity-In…
We consider the problem of minimizing an objective function that is the sum of a convex function and a group sparsity-inducing regularizer. Problems that integrate such regularizers arise in modern…
Trust-Region Newton-CG with Strong Second-Order Complexity Guarantees for Non…
Worst-case complexity guarantees for nonconvex optimization algorithms have been a topic of growing interest. Multiple frameworks that achieve the best known complexity bounds among a broad class o…
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