Uniform Convergence with Square-Root Lipschitz Loss
–Neural Information Processing Systems
In linear regression, interpolating the square loss is equivalent to interpolating many other losses (such as the absolute loss) on the training set. Similarly, in the context of linear classification, many works (Soudry et al. 2018; Ji and Telgarsky 2019; Muthukumar et al. 2021) have shown that optimizing
Neural Information Processing Systems
Feb-9-2026, 09:24:32 GMT
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