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Posted to issues@flink.apache.org by "Ventura Del Monte (JIRA)" <ji...@apache.org> on 2015/07/09 14:10:04 UTC

[jira] [Commented] (FLINK-2162) Implement adaptive learning rate strategies for SGD

    [ https://issues.apache.org/jira/browse/FLINK-2162?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14620398#comment-14620398 ] 

Ventura Del Monte commented on FLINK-2162:
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Hi, I would like to contribute to Flink. I read the contribution guidelines. I have already worked on Flink and I am quite familiar with its internal components. Can I be assigned to this issue?

> Implement adaptive learning rate strategies for SGD
> ---------------------------------------------------
>
>                 Key: FLINK-2162
>                 URL: https://issues.apache.org/jira/browse/FLINK-2162
>             Project: Flink
>          Issue Type: Improvement
>          Components: Machine Learning Library
>            Reporter: Till Rohrmann
>            Priority: Minor
>              Labels: ML
>
> At the moment, the SGD implementation uses a simple adaptive learning rate strategy, {{adaptedLearningRate = initialLearningRate/sqrt(iterationNumber)}}, which makes the optimization algorithm sensitive to the setting of the {{initialLearningRate}}. If this value is chosen wrongly, then the SGD might become instable.
> There are better ways to calculate the learning rate [1] such as Adagrad [3], Adadelta [4], SGD with momentum [5] others [2]. They promise to result in more stable optimization algorithms which don't require so much hyperparameter tweaking. It might be worthwhile to investigate these approaches.
> It might also be interesting to look at the implementation of vowpal wabbit [6].
> Resources:
> [1] [http://imgur.com/a/Hqolp]
> [2] [http://cs.stanford.edu/people/karpathy/convnetjs/demo/trainers.html]
> [3] [http://www.jmlr.org/papers/volume12/duchi11a/duchi11a.pdf]
> [4] [http://www.matthewzeiler.com/pubs/googleTR2012/googleTR2012.pdf]
> [5] [http://www.willamette.edu/~gorr/classes/cs449/momrate.html]
> [6] [https://github.com/JohnLangford/vowpal_wabbit]



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