https://github.com/lacerbi/bads

Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB (old location)
https://github.com/lacerbi/bads

bayesian-optimization log-likelihood matlab noiseless-functions noisy-functions optimization-algorithms

Last synced: 23 days ago
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Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB (old location)

• Host: GitHub
• URL: https://github.com/lacerbi/bads
• Owner: lacerbi
• Created: 2022-10-30T08:20:43.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2022-10-30T14:04:31.000Z (about 2 years ago)
• Last Synced: 2023-10-20T21:07:17.593Z (about 1 year ago)
• Topics: bayesian-optimization, log-likelihood, matlab, noiseless-functions, noisy-functions, optimization-algorithms
• Homepage:
• Size: 1.95 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Bayesian Adaptive Direct Search (BADS)

BADS is a fast Bayesian optimization algorithm designed to solve difficult optimization problems, in particular related to fitting computational models (e.g., via maximum likelihood estimation).

**>>> The official repository for BADS has moved to my lab's GitHub page: [https://github.com/acerbilab/bads](https://github.com/acerbilab/bads)**