5 papers · 1 filter
Online Learning with Multiple Fairness Regularizers via Graph-Structured Feedback
Quan Zhou, Jakub Marecek, Robert Shorten
There is an increasing need to enforce multiple, often competing, measures of fairness within automated decision systems. The appropriate weighting of these fairness objectives is…
Tractable Probabilistic Models for Investment Planning
Nicolas M. Cuadrado A., Mohannad Takrouri, JiÅÃ NÄmeÄek +2
Investment planning in power utilities, such as generation and transmission expansion, requires decisions under substantial uncertainty over decade--long horizons for policies, dem…
Intersectional Fairness via Mixed-Integer Optimization
JiÅÃ NÄmeÄek, Mark Kozdoba, Illia Kryvoviaz +2
The deployment of Artificial Intelligence in high-risk domains, such as finance and healthcare, necessitates models that are both fair and transparent. While regulatory frameworks,…
Stochastic Sample Approximations of (Local) Moduli of Continuity
Rodion Nazarov, Allen Gehret, Robert Shorten +1
Modulus of local continuity is used to evaluate the robustness of neural networks and fairness of their repeated uses in closed-loop models. Here, we revisit a connection between g…
Group-blind optimal transport to group parity and its constrained variants
Quan Zhou, Jakub Marecek
Fairness holds a pivotal role in the realm of machine learning, particularly when it comes to addressing groups categorised by protected attributes, e.g., gender, race. Prevailing…