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A random matrix analysis and improvement of semi-supervised learning for large dimensional data

A random matrix analysis and improvement of semi-supervised learning for large dimensional data

Xiaoyi Mai
Romain Couillet
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Papers citing "A random matrix analysis and improvement of semi-supervised learning for large dimensional data"

7 / 7 papers shown
Title
A Large Dimensional Analysis of Least Squares Support Vector Machines
A Large Dimensional Analysis of Least Squares Support Vector Machines
Zhenyu Liao
Romain Couillet
40
42
0
11 Jan 2017
Minimax-optimal semi-supervised regression on unknown manifolds
Minimax-optimal semi-supervised regression on unknown manifolds
Amit Moscovich
Ariel Jaffe
B. Nadler
50
29
0
07 Nov 2016
Kernel spectral clustering of large dimensional data
Kernel spectral clustering of large dimensional data
Romain Couillet
Florent Benaych-Georges
56
91
0
13 Oct 2015
Asymptotic Justification of Bandlimited Interpolation of Graph signals for Semi-Supervised Learning
Asymptotic Justification of Bandlimited Interpolation of Graph signals for Semi-Supervised Learning
Aamir Anis
Aly El Gamal
A. Avestimehr
Antonio Ortega
100
19
0
14 Feb 2015
Active Semi-Supervised Learning Using Sampling Theory for Graph Signals
Active Semi-Supervised Learning Using Sampling Theory for Graph Signals
Akshay Gadde
Aamir Anis
Antonio Ortega
41
157
0
16 May 2014
Localized Iterative Methods for Interpolation in Graph Structured Data
Localized Iterative Methods for Interpolation in Graph Structured Data
S. K. Narang
Akshay Gadde
Eduard Sanou
Antonio Ortega
42
121
0
09 Oct 2013
Local polynomial regression on unknown manifolds
Local polynomial regression on unknown manifolds
Peter J. Bickel
Bo Li
203
129
0
07 Aug 2007