Pages that link to "Item:Q5095258"

The following pages link to A model of double descent for high-dimensional binary linear classification (Q5095258):

Displaying 9 items.

• AdaBoost and robust one-bit compressed sensing (Q2102435) (← links)
• A random matrix analysis of random Fourier features: beyond the Gaussian kernel, a precise phase transition, and the corresponding double descent* (Q5020045) (← links)
• (Q5053228) (← links)
• Large dimensional analysis of general margin based classification methods (Q5860319) (← links)
• Sharp global convergence guarantees for iterative nonconvex optimization with random data (Q6046308) (← links)
• High dimensional binary classification under label shift: phase transition and regularization (Q6062484) (← links)
• Universality of regularized regression estimators in high dimensions (Q6183759) (← links)
• The curse of overparametrization in adversarial training: precise analysis of robust generalization for random features regression (Q6550964) (← links)
• The common intuition to transfer learning can win or lose: case studies for linear regression (Q6583519) (← links)