REMBO

REMBO is a Matlab package implementing Bayesian optimization in high dimensions via random embedding, accompanying the paper "Bayesian Optimization in a Billion Dimensions via Random Embeddings". Configuration files specify parameter settings, and the package supports continuous, discrete, and categorical parameters as well as log scales.

GitHub repo Directory import
0 shouts Added Sep 23, 2026 github.com
github.com/ziyuw/rembo
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Features

  • supports continuous, discrete, and categorical parameters Source: github.com

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