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

9 November 2017

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 Zhenyu Liao Romain Couillet 40 42 0 11 Jan 2017
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 Romain Couillet Florent Benaych-Georges 50 91 0 13 Oct 2015
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 Akshay Gadde Aamir Anis Antonio Ortega 39 157 0 16 May 2014
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 Peter J. Bickel Bo Li 203 129 0 07 Aug 2007