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most citedGradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks

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math.OC2010★ 78 cited

New Null Space Results and Recovery Thresholds for Matrix Rank Minimization

Samet Oymak, Babak Hassibi

Nuclear norm minimization (NNM) has recently gained significant attention for its use in rank minimization problems. Similar to compressed sensing, using null space characterizatio…