Pages that link to "Item:Q3133606"
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The following pages link to A new analytical approach to consistency and overfitting in regularized empirical risk minimization (Q3133606):
Displaying 11 items.
- Partial differential equations and variational methods for geometric processing of images (Q2178663) (← links)
- Introduction: Big data and partial differential equations (Q3133605) (← links)
- (Q4969066) (← links)
- (Q4998963) (← links)
- Variational Limits of $k$-NN Graph-Based Functionals on Data Clouds (Q5025776) (← links)
- A Maximum Principle Argument for the Uniform Convergence of Graph Laplacian Regressors (Q5037572) (← links)
- Large data limit for a phase transition model with the <i>p</i>-Laplacian on point clouds (Q5056700) (← links)
- Mumford–Shah functionals on graphs and their asymptotics (Q5113448) (← links)
- Analysis of $p$-Laplacian Regularization in Semisupervised Learning (Q5231303) (← links)
- Consistency of fractional graph-Laplacian regularization in semisupervised learning with finite labels (Q6571355) (← links)
- Eikonal depth: an optimal control approach to statistical depths (Q6620132) (← links)
