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effective-sample-size

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bay-yearick-lab / sampling-ceilings

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When more sampling stops helping: a reasoning model can generate a right answer long before it can pick one. The modal and correlation ceilings of test-time scaling, with paper, figures, and code (Bay & Yearick).

machine-learning reproducible-research self-consistency best-of-n effective-sample-size scaling-laws large-language-models inference-time-compute reasoning-models test-time-scaling arxiv-paper repeated-sampling
  • Updated Jun 30, 2026
  • TeX

kolianedgar / covariate-shift-importance-weighting

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Experimental framework for studying covariate shift, chi-squared divergence, importance weighting, effective sample size, and model generalisation.

python data-science machine-learning monte-carlo statistical-learning regression reproducibility domain-adaptation importance-sampling covariate-shift gaussian-distributions effective-sample-size distribution-shift machine-learning-evaluation importance-weighting chi-squared-divergence
  • Updated Sep 16, 2026
  • Python

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