2024
Uncertainty Matters: Stable Conclusions under Unstable Assessment of Fairness Results
AISTATS 2024poster
Recent studies highlight the effectiveness of Bayesian methods in assessing algorithm performance, particularly in fairness and bias evaluation. We present Uncertainty Matters, a multi-objective uncertainty-aware algorithmic comparison framework. In fairness focused scenarios, it models sensitive gr…