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Optimization Examples with SigOpt

13 mentions on Hacker News by 3 people: 1 story, 12 comments · first 2015-12-31 · latest 2017-08-09

Mentions per year 13 mentions · busiest year 2016 (9)
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  1. …more efficiently than something like a brute force grid search. Free for academic use [3]. [1]: https://github.com/sigopt/sigopt-examples/tree/master/multim... [2]: https://github.com/sigopt/sigopt-examples/tree/master/dnn-tu... [3]:…
    comment by Zephyr314 · 2017-08-09 · in Deep Learning Hyperparameter Optimization with Competing Objectives
  2. …replicate everything here [1]. More info on the research behind SigOpt can be found here [2]. [1]: https://github.com/sigopt/sigopt-examples/tree/master/dnn-tu... [2]: https://sigopt.com/research
    comment by Zephyr314 · 2017-05-01 · in Fast CNN Tuning with AWS GPU Instances and SigOpt
  3. …have comparisons to some other Bayesian methods here [2]. I'm happy to answer any questions! [1]: https://github.com/sigopt/sigopt-examples/blob/master/ipytho... [2]: http://arxiv.org/abs/1603.09441
    comment by Zephyr314 · 2016-08-17 · in Intro to Multicriteria Optimization
  4. …problem here [1]. These results only get more striking as the dimensionality increases. [1]: https://github.com/sigopt/sigopt-examples/blob/master/ipytho...
    comment by Zephyr314 · 2016-08-17 · in Intro to Multicriteria Optimization
  5. …to Spark. However, for Hyperparameter cross validation, I looked at the code in the repository ( https://github.com/sigopt/sigopt-examples/blob/master/spark/... ), and while the Spark CrossValidation function is imported at the beginning…
    comment by minimaxir · 2016-08-09 · in Bayesian Optimization for Collaborative Filtering with MLlib
  6. …[1]. The code used in this post can be found on github [2]. [1]: https://sigopt.com/research [2]: https://github.com/sigopt/sigopt-examples/tree/master/dnn-tu...
    comment by Zephyr314 · 2016-06-20 · in Deep Neural Network Optimization with SigOpt and Nervana Cloud
  7. ▲ 2
    How Are My Hyperparameters Affecting My Training Time?
    story by alexcmu · 2016-04-20 · 0 comments
  8. …part (or doing it independently) is great though. All the code for the post is available at https://github.com/sigopt/sigopt-examples/tree/master/unsupe... . It would be interesting to see if doing that would make for a better overall…
    comment by Zephyr314 · 2016-03-12 · in Unsupervised Learning with Even Less Supervision Using Bayesian Optimization
  9. …the code [1] to give this a shot. In future posts we may extend this to other sports as well. [1]: https://github.com/sigopt/sigopt-examples
    comment by Zephyr314 · 2016-01-01 · in Using machine learning to predict basketball scores
  10. …you think would make it better (there is a ton of data we didn't have the chance to look at). [1]: https://github.com/sigopt/sigopt-examples/blob/master/sigopt...
    comment by Zephyr314 · 2016-01-01 · in Using machine learning to predict basketball scores
  11. …to ask anything about the post or what we do at SigOpt (or how). All of the code can be found here: https://github.com/sigopt/sigopt-examples More about how SigOpt works here: https://sigopt.com/research Other discussions here:…
    comment by Zephyr314 · 2016-01-01 · in Using machine learning to predict basketball scores
  12. …stats or temporal stats, but it should be relatively easy to add if you wanted to try it out. [1]: https://github.com/sigopt/sigopt-examples [2]: https://github.com/sigopt/sigopt-examples/blob/master/sigopt...
    comment by Zephyr314 · 2015-12-31 · in Using Model Tuning to Beat Vegas
  13. …questions about the post or what we do at SigOpt. All of the code used in this post can be found at https://github.com/sigopt/sigopt-examples
    comment by Zephyr314 · 2015-12-31 · in Using Model Tuning to Beat Vegas