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papers:bordes-bottou-gallinari-2009 [2009/08/07 10:16]
leonb
papers:bordes-bottou-gallinari-2009 [2017/11/29 10:27] (current)
leonb [Errata]
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 PASCAL Large Scale Learning Challenge. PASCAL Large Scale Learning Challenge.
  
-//Notes//: +<html><font color=blue></html> 
-The appendix contains a derivation of upper and lower bounds  +//Errata//:  
-on the asymptotic convergence speed of stochastic gradient algorithm. +Please see section [[#Errata]] below
-This result is exact in the case of second order stochastic gradient+<html></font></html>
  
 <box 99% orange> <box 99% orange>
-Antoine Bordes, Léon Bottou and Patrick Gallinari:  **SGD-QN: Careful Quasi-Newton Stochastic Gradient Descent**,  //Journal of Machine Learning Research//, 10:1737--1754, 2009.+Antoine Bordes, Léon Bottou and Patrick Gallinari:  **SGD-QN: Careful Quasi-Newton Stochastic Gradient Descent**,  //Journal of Machine Learning Research//, 10:1737--1754, July 2009.
  
 [[http://jmlr.csail.mit.edu/papers/v10/bordes09a.html|JMLR Link]] [[http://jmlr.csail.mit.edu/papers/v10/bordes09a.html|JMLR Link]]
 +[[http://jmlr.csail.mit.edu/papers/v11/bordes10a.html|JMLR Erratum]]
 +<html>&nbsp;&nbsp;</html>
 [[http://leon.bottou.org/publications/djvu/jmlr-2009.djvu|jmlr-2009.djvu]] [[http://leon.bottou.org/publications/djvu/jmlr-2009.djvu|jmlr-2009.djvu]]
 [[http://leon.bottou.org/publications/pdf/jmlr-2009.pdf|jmlr-2009.pdf]] [[http://leon.bottou.org/publications/pdf/jmlr-2009.pdf|jmlr-2009.pdf]]
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     volume = {10},     volume = {10},
     pages = {1737--1754},     pages = {1737--1754},
 +    month = {July},
     url = {http://leon.bottou.org/papers/bordes-bottou-gallinari-2009},     url = {http://leon.bottou.org/papers/bordes-bottou-gallinari-2009},
   }   }
 +
 +==== Implementation ====
 +
 +The complete source code of 
 +[[http://webia.lip6.fr/~bordes/mywiki/doku.php?id=sgdqn|LibSGDQN]]
 +is available on 
 +[[http://webia.lip6.fr/~bordes/mywiki/doku.php|Antoine's]] web site.
 +This source code comes with a script that replicates the
 +experiments discussed in this paper.
 +
 +
 +==== Appendix ====
 +
 +The appendix contains a derivation of upper and lower bounds 
 +on the asymptotic convergence speed of stochastic gradient algorithm.
 +The constants are exact in the case of second order stochastic gradient.
 +
 +
 +==== Errata ====
 +
 +The SGDQN algorithm as described in this paper contains a subtle flaw
 +described in a subsequent [[:papers:bordes-2010|erratum]].
 +
 +There is a missing 1/2 factor in the bounds of theorem 1.
 +
 +\[
 + \def\w{\mathbf{w}}
 + {\frac{1}{2}} \frac{{\mathrm tr}(\mathbf{HBGB})}{2\lambda_{\max}-1}\,t^{-1} + {\mathrm o}(t^{-1})
 +  ~\leq~ \mathbb{E}_{\sigma}\big[\:{\cal P}_n(\w_t)-{\cal P}_n(\w^*_n)\:\big] ~\leq~ 
 +  {\frac{1}{2}} \frac{{\mathrm tr}(\mathbf{HBGB})}{2\lambda_{\min}-1}\,t^{-1} + {\mathrm o}(t^{-1}) 
 +\]
 +
 +The version of the paper found on this site contains the correct theorem and proof.
 +
 +
 +
 +
 +
  
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