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Multiple Kernel Learning from Noisy Labels by Stochastic Programming

Multiple Kernel Learning from Noisy Labels by Stochastic Programming

18 June 2012
Tianbao Yang
M. Mahdavi
Rong Jin
Lijun Zhang
Yang Zhou
    NoLa
ArXiv (abs)PDFHTML

Papers citing "Multiple Kernel Learning from Noisy Labels by Stochastic Programming"

5 / 5 papers shown
Title
Regularization via Mass Transportation
Regularization via Mass Transportation
Soroosh Shafieezadeh-Abadeh
Daniel Kuhn
Peyman Mohajerin Esfahani
OOD
138
206
0
27 Oct 2017
Learning with Confident Examples: Rank Pruning for Robust Classification
  with Noisy Labels
Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels
Curtis G. Northcutt
Tailin Wu
Isaac L. Chuang
NoLa
112
160
0
04 May 2017
On the Convergence of A Family of Robust Losses for Stochastic Gradient
  Descent
On the Convergence of A Family of Robust Losses for Stochastic Gradient Descent
Bo Han
Ivor W. Tsang
Ling-Hao Chen
NoLa
129
21
0
05 May 2016
Classification with Asymmetric Label Noise: Consistency and Maximal
  Denoising
Classification with Asymmetric Label Noise: Consistency and Maximal Denoising
Gilles Blanchard
Marek Flaska
G. Handy
Sara Pozzi
Clayton Scott
NoLa
120
244
0
05 Mar 2013
An Efficient Primal-Dual Prox Method for Non-Smooth Optimization
An Efficient Primal-Dual Prox Method for Non-Smooth Optimization
Tianbao Yang
M. Mahdavi
Rong Jin
Shenghuo Zhu
141
36
0
24 Jan 2012
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