3 papers
stat.AP2025
Principled Frequentist Estimation of Racial Disparity in Credit Approval under Unobserved Race
Sam Fisher, Dmitry Lesnik, Tobias Schäfer
Estimating racial disparities in loan-approval probabilities when race is unobserved is routinely required for fair lending compliance. In such cases, race probabilities-typically…
q-fin.RM2025
Probabilistic Rule Models as Diagnostic Layers: Interpreting Structural Concept Drift in Post-Crisis Finance
Dmitry Lesnik, Tobias Schaefer
Machine learning models used for high-stakes predictions in domains like credit risk face critical degradation due to concept drift, requiring robust and transparent adaptation mec…
cs.AI2025
State Algebra for Propositional Logic
Dmitry Lesnik, Tobias Schäfer
This paper presents State Algebra, a novel framework designed to represent and manipulate propositional logic using algebraic methods. The framework is structured as a hierarchy of…