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cs.LG2026
Locally Adaptive Multi-Objective Learning
Jivat Neet Kaur, Isaac Gibbs, Michael I. Jordan
We consider the general problem of learning a predictor that satisfies multiple objectives of interest simultaneously, a broad framework that captures a range of specific learning…
cs.LG2025
Sample-Efficient Omniprediction for Proper Losses
Isaac Gibbs, Ryan J. Tibshirani
We consider the problem of constructing probabilistic predictions that lead to accurate decisions when employed by downstream users to inform actions. For a single decision maker,…