Tag Archive: optimization

Nov 13

Practical Bayesian Optimization with Spearmint

Recently, I’ve become interested in using Gaussian Processes for hyperparameter optimization. Coincidentally, there’s a great  NIPS 2012 paper by Jasper Snoek, Hugo Larochelle, and Ryan Adams about that very topic. Thankfully, not only is the paper insightful, but they also have Python source code available, called “spearmint” (I guess they chose the name so that …

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