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JasperSnoek/spearmint

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Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

12 mentions on Hacker News by 11 people: 2 stories, 10 comments · first 2013-09-18 · latest 2018-08-27

Mentions per year 12 mentions · busiest year 2015 (3)
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  1. ▲ 2
    Spearmint – Open-source black-box optimization
    story by atrudeau · 2018-08-27 · 0 comments
  2. …[3]. [1] A good tutorial on the approach - https://arxiv.org/abs/1012.2599 [2] A library for this https://github.com/JasperSnoek/spearmint The corresponding paper is linked. [3] This paper is a good example - it suggests doing BO both…
    comment by abhgh · 2018-07-22 · in Gaussian Processes for Machine Learning (2010)
  3. …is an example of this. https://arxiv.org/pdf/1206.2944.pdf Here's a library that helps you do this: https://github.com/JasperSnoek/spearmint . But there are other techniques in this family like Randomized Online Aggressive Racing (ROAR),…
    comment by abhgh · 2018-07-11 · in Troubling Trends in Machine Learning Scholarship
  4. …[1] or MOE [2] (disclaimer, I wrote MOE while working at Yelp). [0]: https://sigopt.com/docs [1]: https://github.com/JasperSnoek/spearmint [2]: https://github.com/Yelp/MOE
    comment by Zephyr314 · 2016-03-13 · in Unsupervised Learning with Even Less Supervision Using Bayesian Optimization
  5. https://github.com/JasperSnoek/spearmint
    comment by bearzoo · 2016-03-12 · in Unsupervised Learning with Even Less Supervision Using Bayesian Optimization
  6. …allowing for faster optimization of hyperparameters. -- [1] For example, like Spearmint: https://github.com/JasperSnoek/spearmint
    comment by cs702 · 2015-09-01 · in Scalable Bayesian Optimization Using Deep Neural Networks
  7. I just came across this today. Code for the project is here: https://github.com/JasperSnoek/spearmint Based on the paper (preprint): http://arxiv.org/pdf/1206.2944.pdf
    comment by ancaster · 2015-06-05 · in Whetlab.com: API for Baysian optimization of hyperparameters
  8. Spearmint, for example: https://github.com/JasperSnoek/spearmint/blob/master/spearmi...
    comment by doobwa · 2015-06-01 · in How to Evaluate Machine Learning Models: Hyperparameter Tuning
  9. …between 2 and 200? You can use bayesian optimization to intelligently search hyperparameters: https://github.com/JasperSnoek/spearmint Try rmsprop though, I've heard good things.
    comment by dave_sullivan · 2014-12-09 · in Why are deep neural networks hard to train?
  10. …a couple of other libraries with a similar range of uses: https://github.com/hyperopt/hyperopt https://github.com/JasperSnoek/spearmint Would be interested if anyone has any thoughts on how these compare (I've been quite impressed so far…
    comment by mjw · 2014-07-24 · in Show HN: Moe, a Metric Optimization Engine
  11. …a nice blog post with some information on some problems it can run into in practice [1]. [0]: https://github.com/JasperSnoek/spearmint [1]: http://fastml.com/tuning-hyperparams-automatically-with-spea...
    comment by thisisdave · 2013-12-01 · in Hyperopt: Optimize your machine learning parameters automagically
  12. ▲ 1
    JasperSnoek/spearmint
    story by austengary · 2013-09-18 · 0 comments