Combining Outcome-Based and Preference-Based Matching: A Constrained Priority Mechanism. - Avidit Acharya; Kirk Bansak; Jens Hainmueller (CoRR, 2019)

A Minimum-Risk Dynamic Assignment Mechanism Along with an Approximation, Heuristics, and Extension from Single to Batch Assignments. - Kirk Bansak (CoRR, 2020)

Leveraging the Power of Place: A Data-Driven Decision Helper to Improve the Location Decisions of Economic Immigrants. - Jeremy Ferwerda; Nicholas Adams-Cohen; Kirk Bansak; Jennifer Fei; Duncan Lawrence; Jeremy M. Weinstein; Jens Hainmueller (CoRR, 2020)

Random Distribution Shift in Refugee Placement: Strategies for Building Robust Models. - Kirk Bansak; Elisabeth Paulson; Dominik Rothenhäusler (CoRR, 2023)

Public Attitudes on Performance for Algorithmic and Human Decision-Makers (Extended Abstract). - Kirk Bansak; Elisabeth Paulson (AIES (1), 2024)

Learning Under Random Distributional Shifts. - Kirk C. Bansak; Elisabeth Paulson; Dominik Rothenhäusler (AISTATS, 2024)

Dynamic Matching with Post-allocation Service and its Application to Refugee Resettlement. - Kirk Bansak; Soonbong Lee; Vahideh H. Manshadi; Rad Niazadeh; Elisabeth Paulson (EC, 2024)

Outcome-Driven Dynamic Refugee Assignment with Allocation Balancing. - Kirk Bansak; Elisabeth Paulson (Oper. Res., 2024)

CTRL Your Shift: Clustered Transfer Residual Learning for Many Small Datasets. - Gauri Jain; Dominik Rothenhäusler; Kirk Bansak; Elisabeth Paulson (CoRR, 2025)