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stat.ME2026
A Statistical Framework for Learning Preferences from the Past
Tamojit Sadhukhan, Moulinath Banerjee, Krishanu Maulik +1
In many real-world settings such as online recommendation or consumer choice modeling, individuals make repeated choices from a fixed set of options. Accurately estimating their un…
stat.ML2026
Maximin Relative Improvement: Fair Learning as a Bargaining Problem
Jiwoo Han, Moulinath Banerjee, Yuekai Sun
When deploying a single predictor across multiple subpopulations, we propose a fundamentally different approach: interpreting group fairness as a bargaining problem among subpopula…