ResearchTrend.AI
Nonasymptotic bounds for vector quantization in Hilbert spaces
v1v2 (latest)

Nonasymptotic bounds for vector quantization in Hilbert spaces

Clément Levrard
ArXiv (abs)PDFHTML

Papers citing "Nonasymptotic bounds for vector quantization in Hilbert spaces"

8 / 8 papers shown
Title
Uniform Concentration Bounds toward a Unified Framework for Robust Clustering
Uniform Concentration Bounds toward a Unified Framework for Robust Clustering
Debolina Paul
Saptarshi Chakraborty
Swagatam Das
Jason Xu
55
16
0
27 Oct 2021
Estimation and Quantization of Expected Persistence Diagrams
Estimation and Quantization of Expected Persistence Diagrams
Vincent Divol
Théo Lacombe
45
10
0
11 May 2021
New bounds for $k$-means and information $k$-means
New bounds for kk-means and information kk-means
Gautier Appert
O. Catoni
69
5
0
14 Jan 2021
Robust $k$-means Clustering for Distributions with Two Moments
Robust kk-means Clustering for Distributions with Two Moments
Yegor Klochkov
Alexey Kroshnin
Nikita Zhivotovskiy
61
20
0
06 Feb 2020
Statistical and Computational Trade-Offs in Kernel K-Means
Statistical and Computational Trade-Offs in Kernel K-Means
Daniele Calandriello
Lorenzo Rosasco
56
32
0
27 Aug 2019
Quantization/clustering: when and why does k-means work?
Quantization/clustering: when and why does k-means work?
Clément Levrard
MQ
64
20
0
11 Jan 2018
Dimensionality-Dependent Generalization Bounds for $k$-Dimensional Coding Schemes
Dimensionality-Dependent Generalization Bounds for kk-Dimensional Coding Schemes
Tongliang Liu
Dacheng Tao
Dong Xu
157
56
0
03 Jan 2016
Sample Complexity of Dictionary Learning and other Matrix Factorizations
Sample Complexity of Dictionary Learning and other Matrix Factorizations
Rémi Gribonval
Rodolphe Jenatton
Francis R. Bach
M. Kleinsteuber
Matthias Seibert
201
86
0
13 Dec 2013