On Wasserstein Two-Sample Testing and Related Families of Nonparametric Tests von Ramdas, Aaditya, Trillos, Nicolás, Cuturi, Marco

Volltext

A variational approach to the consistency of spectral clustering von García Trillos, Nicolás, Slepčev, Dejan

Volltext

Improved spectral convergence rates for graph Laplacians on ε-graphs and k-NN graphs von Calder, Jeff, García Trillos, Nicolás

Volltext

On the Rate of Convergence of Empirical Measures in ∞-transportation Distance von García Trillos, Nicolás, Slepčev, Dejan

Volltext

From Graph Cuts to Isoperimetric Inequalities: Convergence Rates of Cheeger Cuts on Data Clouds von García Trillos, Nicolás, Murray, Ryan, Thorpe, Matthew

Volltext

On the existence of solutions to adversarial training in multiclass classification von García Trillos, Nicolás, Jacobs, Matt, Kim, Jakwang

Volltext

Semi-discrete Optimization Through Semi-discrete Optimal Transport: A Framework for Neural Architecture Search von García Trillos, Nicolás, Morales, Javier

Volltext

An Analytical and Geometric Perspective on Adversarial Robustness von García Trillos, Nicolas, Jacobs, Matt

Volltext

On the regularized risk of distributionally robust learning over deep neural networks von García Trillos, Camilo Andrés, García Trillos, Nicolás

Volltext

A new analytical approach to consistency and overfitting in regularized empirical risk minimization von GARCÍA TRILLOS, NICOLÁS, MURRAY, RYAN

Volltext

Rates of convergence for regression with the graph poly-Laplacian von Trillos, Nicolás García, Murray, Ryan, Thorpe, Matthew

Volltext

Continuum Limit of Total Variation on Point Clouds von Garcia Trillos, Nicolas, SlepAeev, Dejan

Volltext

Estimating perimeter using graph cuts von García Trillos, Nicolás, Slepčev, Dejan, von Brecht, James

Volltext

Error Estimates for Spectral Convergence of the Graph Laplacian on Random Geometric Graphs Toward the Laplace–Beltrami Operator von García Trillos, Nicolás, Gerlach, Moritz, Hein, Matthias, Slepčev, Dejan

Volltext

Lipschitz Regularity of Graph Laplacians on Random Data Clouds von Calder, Jeff, García Trillos, Nicolás, Lewicka, Marta

Volltext

Gromov–Hausdorff limit of Wasserstein spaces on point clouds von García Trillos, Nicolás

Volltext

Continuum Limits of Posteriors in Graph Bayesian Inverse Problems von García Trillos, Nicolás, Sanz-Alonso, Daniel

Volltext

The Bayesian Update: Variational Formulations and Gradient Flows von Garcia Trillos, Nicolas, Sanz-Alonso, Daniel

Volltext

Traditional and Accelerated Gradient Descent for Neural Architecture Search von Trillos, Nicolás García, Morales, Félix, Morales, Javier

Volltext

The Bayesian formulation and well-posedness of fractional elliptic inverse problems von Trillos, Nicolás García, Sanz-Alonso, Daniel

Volltext