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matrix sensing
matrix sensing
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New theory links matrix sensing robustness to solution geometry, not just parameter count
A new theoretical framework for matrix sensing, a problem analogous to training quadratic neural networks, suggests that over-parameterization does not inherently determine robustness. The study indicates that the local…
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Weight Normalization Accelerates Matrix Sensing Convergence
A new arXiv paper details the benefits of weight normalization (WN) for overparameterized matrix sensing problems. The research demonstrates that WN, when combined with Riemannian optimization, can achieve linear conver…