Luise Ge

12 papers A* 4Journal 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Lifted Relational Probabilistic Inference via Implicit Learning. CoRR Luise Ge, Brendan Juba, Kris Nilsson, Alison Shao
2026	J	`jnl`	Linear Social Choice with Few Queries: A Moment-Based Approach. CoRR Luise Ge, Daniel Halpern, Gregory Kehne, Yevgeniy Vorobeychik
2026	J	`jnl`	Mind the (DH) Gap! A Contrast in Risky Choices Between Reasoning and Conversational LLMs. CoRR Luise Ge, Yongyan Zhang, Yevgeniy Vorobeychik
2026	A*	`conf`	Optimized Distortion in Linear Social Choice. AAAI Luise Ge, Gregory Kehne, Yevgeniy Vorobeychik
2025	A*	`conf`	Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks. ICML Luise Ge, Michael Lanier, Anindya Sarkar, Bengisu Guresti, Chongjie Zhang, Yevgeniy Vorobeychik
2025	J	`jnl`	Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks. CoRR Luise Ge, Michael Lanier, Anindya Sarkar, Bengisu Guresti, Yevgeniy Vorobeychik, Chongjie Zhang
2025	J	`jnl`	Optimized Distortion in Linear Social Choice. CoRR Luise Ge, Gregory Kehne, Yevgeniy Vorobeychik
2025	A*	`conf`	Polynomial-Time Relational Probabilistic Inference in Open Universes. IJCAI Luise Ge, Brendan Juba, Kris Nilsson
2025	J	`jnl`	Polynomial-Time Relational Probabilistic Inference in Open Universes. CoRR Luise Ge, Brendan Juba, Kris Nilsson
2024	A*	`conf`	Axioms for AI Alignment from Human Feedback. NeurIPS Luise Ge, Daniel Halpern, Evi Micha, Ariel D. Procaccia, Itai Shapira, Yevgeniy Vorobeychik, Junlin Wu
2024	J	`jnl`	Axioms for AI Alignment from Human Feedback. CoRR Luise Ge, Daniel Halpern, Evi Micha, Ariel D. Procaccia, Itai Shapira, Yevgeniy Vorobeychik, Junlin Wu
2024	J	`jnl`	Learning Linear Utility Functions From Pairwise Comparison Queries. CoRR Luise Ge, Brendan Juba, Yevgeniy Vorobeychik