AI models
Bayesian automated hyperparameter tuning
Published
Dec 2, 2012
Bayesian automated hyperparameter tuning is an AI model developed by University of Toronto, University of Sherbrooke and Harvard University (Canada and United States), first published in December 2012. It works in the other domain, on tasks such as mathematical simulation.
Epoch AI has no training-compute estimate for this model. It was trained on roughly 50K datapoints.
The reference paper has 9,316 citations.
Full record
- Organization
- University of Toronto, University of Sherbrooke, Harvard University
- Country of organization
- Canada, United States
- Domain
- Other
- Task
- Mathematical simulation
- Dataset size
- 50K
- Citations
- 9,316
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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