A new analytical approach to consistency and overfitting in regularized empirical risk minimization

1 July 2016

Papers citing "A new analytical approach to consistency and overfitting in regularized empirical risk minimization"

9 / 9 papers shown

Title
On the existence of solutions to adversarial training in multiclass classification Nicolas García Trillos Matt Jacobs Jakwang Kim 65 8 0 28 Apr 2023
Eikonal depth: an optimal control approach to statistical depths M. Molina-Fructuoso Ryan W. Murray MDE 84 4 0 14 Jan 2022
The Geometry of Adversarial Training in Binary Classification Leon Bungert Nicolas García Trillos Ryan W. Murray AAML 93 24 0 26 Nov 2021
Mumford-Shah functionals on graphs and their asymptotics M. Caroccia A. Chambolle D. Slepčev 72 22 0 22 Jun 2019
Geometric structure of graph Laplacian embeddings Nicolas García Trillos Franca Hoffmann Bamdad Hosseini 84 24 0 30 Jan 2019
A maximum principle argument for the uniform convergence of graph Laplacian regressors Nicolas García Trillos Ryan W. Murray 105 20 0 29 Jan 2019
On the Consistency of Graph-based Bayesian Learning and the Scalability of Sampling Algorithms Nicolas García Trillos Zachary T. Kaplan Thabo Samakhoana D. Sanz-Alonso 68 19 0 20 Oct 2017
Analysis of $p$ -Laplacian Regularization in Semi-Supervised Learning D. Slepčev Matthew Thorpe 84 115 0 19 Jul 2017
Variational limits of k-NN graph based functionals on data clouds Nicolas García Trillos 102 9 0 03 Jul 2016