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.
The paper compares different fairness definitions under various worldviews.
Paper tackles inverse reinforcement learning with feature mismatch, proposing a teaching scheme.
Paper improves teaching by considering learner's preferences and constraints.
Paper introduces kernel methods for detecting anomalous changes in remote sensing imagery.
Increasingly, discrimination by algorithms is perceived as a societal and legal problem. As a response, a number of criteria for implementing algorithmic fairness in machine learning have been developed in the literature. This paper proposes the Continuous Fairness Algorithm (CFA) which enables a continuous interpol…