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More essential background on Bayesian optimization in AutoML's HyperTune https://cloud.google.com/blog/products/gcp/hyperparameter-tuning-cloud-machine-learnin
by ArtWomb 8y ago
More essential background on Bayesian optimization in AutoML's HyperTune
https://cloud.google.com/blog/products/gcp/hyperparameter-tuning-cloud-machine-learning-engine-using-bayesian-optimization https://cloud.google.com/blog/products/gcp/hyperparameter-tu...
- manneshiva 8y agoEven Facebook uses Bayesian Optimization for tuning the parameters of some of its online systems (like its internal ranking system): https://research.fb.com/efficient-tuning-of-online-systems-using-bayesian-optimization/ https://research.fb.com/efficient-tuning-of-online-systems-u...
- Zephyr314 8y agoThere are also several papers and blog posts diving into details and tradeoffs of different Bayesian optimization approaches and components here [0]. Example: Covariance Kernels for Avoiding Boundaries [1] [0]: https://sigopt.com/research/ https://sigopt.com/research/ [1]: https://sigopt.com/blog/covariance-kernels-for-avoiding-boundaries/ https://sigopt.com/blog/covariance-kernels-for-avoiding-boun...