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Kernel Meets Sieve: Post-Regularization Confidence Bands for Sparse
  Additive Model

Kernel Meets Sieve: Post-Regularization Confidence Bands for Sparse Additive Model

10 March 2015
Junwei Lu
Mladen Kolar
Han Liu
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Papers citing "Kernel Meets Sieve: Post-Regularization Confidence Bands for Sparse Additive Model"

3 / 3 papers shown
Title
Personalized Federated Learning: A Unified Framework and Universal
  Optimization Techniques
Personalized Federated Learning: A Unified Framework and Universal Optimization Techniques
Filip Hanzely
Boxin Zhao
Mladen Kolar
FedML
37
53
0
19 Feb 2021
Nonparametric sparsity and regularization
Nonparametric sparsity and regularization
Lorenzo Rosasco
S. Villa
S. Mosci
M. Santoro
A. Verri
96
102
0
13 Aug 2012
High-dimensional additive modeling
High-dimensional additive modeling
L. Meier
Sara van de Geer
Peter Buhlmann
204
481
0
25 Jun 2008
1