Machine Learning
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Bayesian Optimization
Quick Definition
Optimizing expensive functions using a probabilistic model
Full Definition
A strategy for optimizing expensive functions using a probabilistic surrogate model.
Examples
hyperparameter tuning, experimental design, NAS
Related Terms
hyperparameter-tuning
gaussian-process
More Machine Learning Terms
Support Vector Machine
Finding optimal hyperplane to separate classes with max margin
Overfitting
When a model learns training data noise and fails on new data
Bagging
Training models on random subsets and averaging predictions
Regularization
Techniques constraining model complexity to prevent overfitting
Data Augmentation
Artificially increasing training data through modified copies
Naive Bayes
Probabilistic classifier using Bayes theorem with independence