3 papers
cs.LG2026
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…
math.OC2025
Joint Problems in Learning Multiple Dynamical Systems
Mengjia Niu, Xiaoyu He, Petr Ryšavý +2
Clustering of time series is a well-studied problem, with applications ranging from quantitative, personalized models of metabolism obtained from metabolite concentrations to state…
cs.LG2024
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…