Derivative-Free and Blackbox Optimization
By Charles Audet, W. Hare. 2017
526 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/1fd6a36125d944522c4adbfadb6b9abe6613ac27
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Wenjie Ruan
- Anne Auger
- Youcheng Sun
- Xiaowei Huang
- Min Wu
- Marta Z. Kwiatkowska
- Nikolaus Hansen
- Daniel Kroening
Citations in the corpus
- Concolic Testing for Deep Neural Networks (2018, methodology): “To solve the problem above we use the compass searchmethod [2], which is efficient, derivative-free, and guaranteed to provide firstorder global convergence.”
- COCO: a platform for comparing continuous optimizers in a black-box setting (2016, methodology): “In [1]: import cocopp In [2]: ars = cocopp.”