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1607.00274
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A new analytical approach to consistency and overfitting in regularized empirical risk minimization
1 July 2016
Nicolas García Trillos
Ryan W. Murray
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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
72
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
p
p
-Laplacian Regularization in Semi-Supervised Learning
D. Slepčev
Matthew Thorpe
89
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
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