Unfair Utilities and First Steps Towards Improving Them

arXiv:2306.00636 · stat.ML, cs.CY, cs.LG · Submitted 2023-06-01 · Read on arXiv

stat.ML, cs.CY, cs.LG

Submitted: 2023-06-01

Updated: 2026-09-14

Journal ref: Journal of Causal Inference 14(1), 20250013 (2026)

DOI: 10.1515/jci-2025-0013

Code: https://github.com/FrederikHJ/Unfair-Utilities

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accountability — 3× in this paper · explained in 2 episodes
• Loss Function — 2× in this paper · explained in 2 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Arbiter — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Causal Reasoning — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Elias — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Selection Bias — 1× in this paper · explained in 4 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Sources

• Modeling Discrimination with Causal Abstraction

Related papers

• Behavior of prediction performance metrics with rare events
• Optimal Estimation of Generic Dynamics by Path-Dependent Neural Jump ODEs
• A Posterior-Dynamics Framework for Imaging Inverse Problems with Pretrained Diffusion Priors
• Efficient quadratic entropy with distance sketches
• Embedding-Bias in Conditional Independence Testing
• From Log-Odds to Shapley Values: An Explanatory Geometry for the Weighted Naive Bayes Classifier