Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges.
Bernd BischlMartin BinderMichel LangTobias PielokJakob RichterStefan CoorsJanek ThomasTheresa UllmannMarc BeckerAnne-Laure BoulesteixDifan DengMarius LindauerPublished in: WIREs Data. Mining. Knowl. Discov. (2023)
Keyphrases
- optimization problems
- learning algorithm
- lessons learned
- computational cost
- orders of magnitude
- computational complexity
- stochastic search
- computational challenges
- discrete optimization
- artificial intelligence
- data mining
- real world
- software engineering
- worst case
- data structure
- computationally efficient
- machine learning algorithms
- case study
- times faster
- gaussian process
- evolution strategy
- neural network