assume an unbiased predictive model. In this paper, we address the fact that prediction bias can be nonnegligible in large VA … portfolio valuation and investigate the impact of prediction bias in both the modeling and sampling stages of active learning …. Our experimental results suggest that bias-based sampling can rival the efficacy of traditional ambiguity-based sampling …

The ability to predict corruption is crucial to policy. Using rich micro-data from Brazil, we show that multiple … machine learning models display high levels of performance in predicting municipality-level corruption in public spending. We … predictors of corruption, while public sector and political features play a secondary role. Our findings have implications for …

study comes up with a global ranking of the quality of (trade) governance. The paper also compares our bias-free indicator …