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Beyond Smoothness: Incorporating Low-Rank Analysis into Nonparametric
  Density Estimation

Beyond Smoothness: Incorporating Low-Rank Analysis into Nonparametric Density Estimation

2 April 2022
Robert A. Vandermeulen
Antoine Ledent
ArXivPDFHTML

Papers citing "Beyond Smoothness: Incorporating Low-Rank Analysis into Nonparametric Density Estimation"

6 / 6 papers shown
Title
Explainable Neural Networks with Guarantees: A Sparse Estimation Approach
Explainable Neural Networks with Guarantees: A Sparse Estimation Approach
Antoine Ledent
Peng Liu
FAtt
107
0
0
20 Feb 2025
Breaking the curse of dimensionality in structured density estimation
Breaking the curse of dimensionality in structured density estimation
Robert A. Vandermeulen
Wai Ming Tai
Bryon Aragam
31
0
0
10 Oct 2024
Generalized multi-view model: Adaptive density estimation under low-rank
  constraints
Generalized multi-view model: Adaptive density estimation under low-rank constraints
J. Chhor
Olga Klopp
Alexandre B. Tsybakov
25
1
0
26 Apr 2024
Sample Complexity Using Infinite Multiview Models
Sample Complexity Using Infinite Multiview Models
Robert A. Vandermeulen
19
3
0
08 Feb 2023
Generalization Bounds for Inductive Matrix Completion in Low-noise
  Settings
Generalization Bounds for Inductive Matrix Completion in Low-noise Settings
Antoine Ledent
Rodrigo Alves
Yunwen Lei
Y. Guermeur
Marius Kloft
23
3
0
16 Dec 2022
Generalized Identifiability Bounds for Mixture Models with Grouped
  Samples
Generalized Identifiability Bounds for Mixture Models with Grouped Samples
Robert A. Vandermeulen
René Saitenmacher
28
2
0
22 Jul 2022
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