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The Multimarginal Optimal Transport Formulation of Adversarial Multiclass Classification


Apr 27, 2022
Nicolas Garcia Trillos, Matt Jacobs, Jakwang Kim


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On the regularized risk of distributionally robust learning over deep neural networks


Sep 13, 2021
Camilo Garcia Trillos, Nicolas Garcia Trillos


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Large sample spectral analysis of graph-based multi-manifold clustering


Jul 28, 2021
Nicolas Garcia Trillos, Pengfei He, Chenghui Li


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Adversarial Classification: Necessary conditions and geometric flows


Nov 21, 2020
Nicolas Garcia Trillos, Ryan Murray


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Lipschitz regularity of graph Laplacians on random data clouds


Jul 13, 2020
Jeff Calder, Nicolas Garcia Trillos, Marta Lewicka


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Traditional and accelerated gradient descent for neural architecture search


Jul 02, 2020
Nicolas Garcia Trillos, Felix Morales, Javier Morales


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Semi-discrete optimization through semi-discrete optimal transport: a framework for neural architecture search


Jun 26, 2020
Nicolas Garcia Trillos, Javier Morales


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From graph cuts to isoperimetric inequalities: Convergence rates of Cheeger cuts on data clouds


Apr 20, 2020
Nicolas Garcia Trillos, Ryan Murray, Matthew Thorpe


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Improved spectral convergence rates for graph Laplacians on epsilon-graphs and k-NN graphs


Oct 29, 2019
Jeff Calder, Nicolas Garcia Trillos


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