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Microsoft
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Bayesian Optimization with Robust Bayesian Neural Networks
Bayesian optimization is a prominent method for optimizing expensive to evaluate black-box functions that is prominently applied to tuning the hyperparameters of machine learning algorithms. Despite its successes, the prototypical Bayesian optimization approach - using Gaussian process models - does not scale well to either many hyperparameters ...
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Just in case you missed it, here is a recording of today's webinar on diagnostic reasoning with Bayesian networks and BayesiaLab. So, if your car doesn't start in the morning, first consult a Bayesian network! | Bayesia USA | Facebook
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