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most citedHow Does Unlabeled Data Provably Help Out-of-Distribution Detection?

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math.OC2024

Robust Second-Order Nonconvex Optimization and Its Application to Low Rank Matrix Sensing

Shuyao Li, Yu Cheng, Ilias Diakonikolas +3

Finding an approximate second-order stationary point (SOSP) is a well-studied and fundamental problem in stochastic nonconvex optimization with many applications in machine learnin…