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Iterative Regularization for Learning with Convex Loss Functions

Iterative Regularization for Learning with Convex Loss Functions

31 March 2015
Junhong Lin
Lorenzo Rosasco
Ding-Xuan Zhou
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Papers citing "Iterative Regularization for Learning with Convex Loss Functions"

6 / 6 papers shown
Title
Simultaneous Model Selection and Optimization through Parameter-free
  Stochastic Learning
Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning
Francesco Orabona
127
103
0
15 Jun 2014
Learning with incremental iterative regularization
Learning with incremental iterative regularization
Lorenzo Rosasco
S. Villa
48
14
0
30 Apr 2014
Early stopping and non-parametric regression: An optimal data-dependent
  stopping rule
Early stopping and non-parametric regression: An optimal data-dependent stopping rule
Garvesh Raskutti
Martin J. Wainwright
Bin Yu
72
299
0
15 Jun 2013
Stochastic Gradient Descent for Non-smooth Optimization: Convergence
  Results and Optimal Averaging Schemes
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes
Ohad Shamir
Tong Zhang
143
573
0
08 Dec 2012
Computational and Statistical Tradeoffs via Convex Relaxation
Computational and Statistical Tradeoffs via Convex Relaxation
V. Chandrasekaran
Michael I. Jordan
88
220
0
05 Nov 2012
Optimal learning rates for Kernel Conjugate Gradient regression
Optimal learning rates for Kernel Conjugate Gradient regression
Gilles Blanchard
Nicole Krämer
54
71
0
29 Sep 2010
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