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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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3 results for “ABROCA”

Toward Sufficient Statistical Power in Algorithmic Bias Assessment: A Test for ABROCAstat.ML

Study improves statistical power for detecting algorithmic bias in educational data.

problem Challenges in measuring algorithmic bias using ABROCA due to skewed distribution.

method Investigates ABROCA's distributional properties and proposes nonparametric randomization tests.

result ABROCA-based bias assessments are underpowered in typical EDM sample sizes.

algorithmic bias statistical power ABROCA randomization tests educational data mining

2025-01-08abs ↗pdf ↗

ABROCA Distributions For Algorithmic Bias Assessment: Considerations Around Interpretationstat.ML

ABROCA assesses algorithmic bias, revealing skewed distributions that inflate results.

problem Detecting nuanced performance differences in classifier fairness.

method Study of ABROCA metric's statistical properties under various conditions.

result ABROCA distributions are skewed, inflating results by chance in imbalanced classes.

algorithmic bias ROC curves fairness assessment class imbalance statistical properties

2024-11-28abs ↗pdf ↗

Is Your Model "MADD"? A Novel Metric to Evaluate Algorithmic Fairness for Predictive Student Modelscs.LG

New metric MADD assesses fairness of predictive student models.

problem Predictive student models can be biased and unfair, leading to discrimination.

method Proposes MADD metric to analyze model's discriminatory behaviors.

result Fair predictive performance does not guarantee fair behaviors or outcomes.

algorithmic fairness predictive models student success data bias model behavior

2023-05-24abs ↗pdf ↗