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cs.LG2025
A Dual Perspective on Decision-Focused Learning: Scalable Training via Dual-Guided Surrogates
Paula Rodriguez-Diaz, Kirk Bansak Elisabeth Paulson
Many real-world decisions are made under uncertainty by solving optimization problems using predicted quantities. This predict-then-optimize paradigm has motivated decision-focused…
cs.LG2025
CTRL Your Shift: Clustered Transfer Residual Learning for Many Small Datasets
Gauri Jain, Dominik Rothenhäusler, Kirk Bansak +1
Machine learning (ML) tasks often utilize large-scale data that is drawn from several distinct sources, such as different locations, treatment arms, or groups. In such settings, pr…