3 papers
cs.AI2026
Lifted Relational Probabilistic Inference via Implicit Learning
Luise Ge, Brendan Juba, Kris Nilsson +1
Reconciling the tension between inductive learning and deductive reasoning in first-order relational domains is a longstanding challenge in AI. We study the problem of answering qu…
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.LG2024
Learning Linear Utility Functions From Pairwise Comparison Queries
Luise Ge, Brendan Juba, Yevgeniy Vorobeychik
We study learnability of linear utility functions from pairwise comparison queries. In particular, we consider two learning objectives. The first objective is to predict out-of-sam…