Luise Ge

According to our database, Luise Ge authored at least 8 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Linear Social Choice with Few Queries: A Moment-Based Approach.

Luise Ge, Daniel Halpern, Gregory Kehne, Yevgeniy Vorobeychik

CoRR, March, 2026

Mind the (DH) Gap! A Contrast in Risky Choices Between Reasoning and Conversational LLMs.

Luise Ge, Yongyan Zhang, Yevgeniy Vorobeychik

CoRR, February, 2026

Lifted Relational Probabilistic Inference via Implicit Learning.

Luise Ge, Brendan Juba, Kris Nilsson, Alison Shao

CoRR, February, 2026

Optimized Distortion in Linear Social Choice.

Luise Ge, Gregory Kehne, Yevgeniy Vorobeychik

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Polynomial-Time Relational Probabilistic Inference in Open Universes.

Luise Ge, Brendan Juba, Kris Nilsson

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks.

Luise Ge, Michael Lanier, Anindya Sarkar, Bengisu Guresti, Chongjie Zhang, Yevgeniy Vorobeychik

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Learning Linear Utility Functions From Pairwise Comparison Queries.

Luise Ge, Brendan Juba, Yevgeniy Vorobeychik

CoRR, 2024

Axioms for AI Alignment from Human Feedback.

Luise Ge, Daniel Halpern, Evi Micha, Ariel D. Procaccia, Itai Shapira, Yevgeniy Vorobeychik, Junlin Wu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024