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Overcoming the curse of dimensionality with Laplacian regularization in
  semi-supervised learning

Overcoming the curse of dimensionality with Laplacian regularization in semi-supervised learning

9 September 2020
Vivien A. Cabannes
Loucas Pillaud-Vivien
Francis R. Bach
Alessandro Rudi
ArXivPDFHTML

Papers citing "Overcoming the curse of dimensionality with Laplacian regularization in semi-supervised learning"

6 / 6 papers shown
Title
Nonparametric Linear Feature Learning in Regression Through
  Regularisation
Nonparametric Linear Feature Learning in Regression Through Regularisation
Bertille Follain
Francis R. Bach
25
3
0
24 Jul 2023
The SSL Interplay: Augmentations, Inductive Bias, and Generalization
The SSL Interplay: Augmentations, Inductive Bias, and Generalization
Vivien A. Cabannes
B. Kiani
Randall Balestriero
Yann LeCun
A. Bietti
SSL
24
31
0
06 Feb 2023
On minimal variations for unsupervised representation learning
On minimal variations for unsupervised representation learning
Vivien A. Cabannes
A. Bietti
Randall Balestriero
SSL
DRL
33
8
0
07 Nov 2022
Active Labeling: Streaming Stochastic Gradients
Active Labeling: Streaming Stochastic Gradients
Vivien A. Cabannes
Francis R. Bach
Vianney Perchet
Alessandro Rudi
61
2
0
26 May 2022
Sobolev Acceleration and Statistical Optimality for Learning Elliptic
  Equations via Gradient Descent
Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent
Yiping Lu
Jose H. Blanchet
Lexing Ying
38
7
0
15 May 2022
Nonparametric sparsity and regularization
Nonparametric sparsity and regularization
Lorenzo Rosasco
S. Villa
S. Mosci
M. Santoro
A. Verri
93
102
0
13 Aug 2012
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