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- Title
Is designed data collection still relevant in the big data era? – A discussion.
- Authors
Stevens, Nathaniel T.
- Abstract
This methodology is the analysis backbone at Optimizely, one of the largest third-party experimentation platform vendors.[14] See also Deng et al.[15] for a Bayesian approach to continuously monitor OCEs using Bayes factors. 26 Deng A, Xu Y, Kohavi R, Walker T, Improving the sensitivity of online controlled experiments by utilizing pre-experiment data. Most often, hyperparameter tuning is done via grid search (i.e., factorial designs) but this problem is perfectly suited for response surface methodology to both efficiently determine which hyperparameters are important (via screening experiments) and then to determine the optimal configuration of the important ones via response surface experiments and second order models. Keywords: design and analysis of experiments; hyperparameter tuning; simulation design EN design and analysis of experiments hyperparameter tuning simulation design 1107 1109 3 05/09/23 20230601 NES 230601 I would first like to congratulate Dr. Anderson-Cook and Dr. Lu for an important, insightful, and timely paper.
- Subjects
FACTORIAL experiment designs; STATISTICAL hypothesis testing; DATA mining; MACHINE learning; ACQUISITION of data; BIG data; SCIENCE conferences; RANDOM forest algorithms
- Publication
Quality & Reliability Engineering International, 2023, Vol 39, Issue 4, p1107
- ISSN
0748-8017
- Publication type
Article
- DOI
10.1002/qre.3331