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sigma-adaptation

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zfifteen / lr-adapt-proxy

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SNR-driven adaptive step-size control for CMA-ES under noisy black-box optimization. A transparent proxy layer that adjusts sigma using signal-to-noise ratio estimates, with full experimental infrastructure and sensitivity analysis.

python benchmarking reproducible-research sensitivity-analysis black-box-optimization optimization-algorithms evolution-strategies cma-es noise-robust signal-to-noise-ratio noisy-optimization step-size-adaptation sigma-adaptation pycma ema-smoothing mad-estimator
  • Updated Mar 5, 2026
  • Python

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