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Random-search hyperparameter baseline and effective dimension analysis

Contribution grade

Hyperparameter search methodology · Human-designed research method or resource

Reference score175,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Analyzes and tests independent random configurations as a baseline against grids, showing why low effective-dimensional objectives can waste many grid coordinates.

Scientific scope

Analyzes and tests independent random configurations as a baseline against grids, showing why low effective-dimensional objectives can waste many grid coordinates. Not invention of random global search, nor a theorem that random beats every grid for all functions. Advantages depend on effective dimensions, sampling distribution and budget; low-dimensional regular grids can be more efficient. This is the2012JMLRoriginal.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Not invention of random global search, nor a theorem that random beats every grid for all functions. Advantages depend on effective dimensions, sampling distribution and budget; low-dimensional regular grids can be more efficient. This is the2012JMLRoriginal.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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