spectral norm

5 papers

• Differential Privacy for Euclidean Jordan Algebra with Applications to Private Symmetric Cone Programming
• Implicit Bias of Spectral Descent and Muon on Multiclass Separable Data
• Reproducing Kernel Banach Space Models for Neural Networks with Application to Rademacher Complexity Analysis
• Spectral Perturbation Bounds for Low-Rank Approximation with Applications to Privacy
• Spectral Perturbation Bounds for Low-Rank Approximation with Applications to Privacy