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cs.GT2025
Optimized Distortion in Linear Social Choice
Luise Ge, Gregory Kehne, Yevgeniy Vorobeychik
Social choice theory offers a wealth of approaches for selecting a candidate on behalf of voters based on their reported preference rankings over options. When voters have underlyi…
cs.AI2025
Polynomial-Time Relational Probabilistic Inference in Open Universes
Luise Ge, Brendan Juba, Kris Nilsson
Reasoning under uncertainty is a fundamental challenge in Artificial Intelligence. As with most of these challenges, there is a harsh dilemma between the expressive power of the la…
cs.LG2025
Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks
Luise Ge, Michael Lanier, Anindya Sarkar +3
Many dynamic decision problems, such as robotic control, involve a series of tasks, many of which are unknown at training time. Typical approaches for these problems, such as multi…