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joseph-chakar authored Jun 20, 2024
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# SCORE
$SCORE$ is a 1D reparameterization technique that breaks Bayesian Optimization (BO)’s curse of dimensionality and drastically reduces its computing time by decomposing the full $D$-dimensional space into $D$ 1D spaces along each input variable.

A working paper describing this approach can be found here: https://arxiv.org/abs/2406.12661
The working paper describing this approach can be found here: https://arxiv.org/abs/2406.12661

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