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

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

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

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

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

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

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

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

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

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

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

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

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

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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

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Variational Characterizations of Local Entropy and Heat Regularization in Deep Learning von García Trillos, Nicolas, Kaplan, Zachary, Sanz-Alonso, Daniel

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

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

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

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The Geometry of Adversarial Training in Binary Classification von Bungert, Leon, Nicolás García Trillos, Murray, Ryan

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

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