10 citations · 15 across the 4 of their papers we have counts for
4 papers
Learning under random distributional shifts
Kirk Bansak, Elisabeth Paulson, Dominik Rothenhäusler
Many existing approaches for generating predictions in settings with distribution shift model distribution shifts as adversarial or low-rank in suitable representations. In various…
Group fairness in dynamic refugee assignment
Daniel Freund, Thodoris Lykouris, Elisabeth Paulson +2
Ensuring that refugees and asylum seekers thrive (e.g., find employment) in their host countries is a profound humanitarian goal, and a primary driver of employment is the geograph…
Outcome-Driven Dynamic Refugee Assignment with Allocation Balancing
Kirk Bansak, Elisabeth Paulson
This study proposes two new dynamic assignment algorithms to match refugees and asylum seekers to geographic localities within a host country. The first, currently implemented in a…
Minimum Probabilistic Finite State Learning Problem on Finite Data Sets: Complexity, Solution and Approximations
Elisabeth Paulson, Christopher Griffin
In this paper, we study the problem of determining a minimum state probabilistic finite state machine capable of generating statistically identical symbol sequences to samples prov…