The following pages link to (Q5053228):
Displaying 9 items.
- On the robustness of minimum norm interpolators and regularized empirical risk minimizers (Q2091842) (← links)
- AdaBoost and robust one-bit compressed sensing (Q2102435) (← links)
- Surprises in high-dimensional ridgeless least squares interpolation (Q2131262) (← links)
- Triple descent and the two kinds of overfitting: where and why do they appear?* (Q5020037) (← links)
- Fit without fear: remarkable mathematical phenomena of deep learning through the prism of interpolation (Q5887828) (← links)
- Newton-MR: inexact Newton method with minimum residual sub-problem solver (Q6114941) (← links)
- The common intuition to transfer learning can win or lose: case studies for linear regression (Q6583519) (← links)
- New equivalences between interpolation and SVMs: kernels and structured features (Q6617269) (← links)
- Double data piling: a high-dimensional solution for asymptotically perfect multi-category classification (Q6643296) (← links)
