3 papers
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…
cs.DS2024
Dynamic Matching with Post-allocation Service and its Application to Refugee Resettlement
Kirk Bansak, Soonbong Lee, Vahideh Manshadi +2
Motivated by our collaboration with a major refugee resettlement agency in the U.S., we study a dynamic matching problem where each new arrival (a refugee case) must be matched imm…