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

Feb-16-2026, 10:55:29 GMT–Neural Information Processing Systems

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

algorithm, artificial intelligence, machine learning, (16 more...)

Neural Information Processing Systems

Feb-16-2026, 10:55:29 GMT

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

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