Luise Ge
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I am a Computer Science PhD student at Washington University in St Louis, advised by Yevgeniy Vorobeychik and Brendan Juba.
I spend most of my time over the theoretical aspects of computing but I am also passionate about building applications. Currently, I am interested in integrating learning and reasoning, multi-agent system, algorithmic fairness.
On a personal note, I would like to describe myself as a generalist as my interests are quite broad. I started out as a cognitive science student at the University of Edinburgh, with the passion to figure out how mind works. While this curiosity has never diminished, it just happened that the beauty of maths struck me greatly.
I ended up getting a master degree specialised in geometry and topology at Imperial College London under the guidance of the amazing Paolo Cascini. My master thesis was on algebraic geometry inspired by a fantastic idea called "the periodic table of shapes".
I have turned back to CS due to both the philosophical considerations and social impact of many computational problems. I prefer to avoid the locution of "AI" because of its overloaded interpretations.
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News
- [Oct 2024] I am going to attend the 10th Conference of Algorithmic Decision Theory at DIMACS, Rutgers University.
- [Sep 2024] Our paper Axioms for AI Alignment from Human Feedback is accepted into Neurips Spotlights!
- [May 2024] I will be presenting at the AAMAS 2024 Workshop on Social Choice and Learning Algorithms in Auckland, New Zealand
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Research
Integration of learning and Reasoning:
Social Choice and Value Alignment:
Axioms for AI Alignment from Human Feedback
(α-β) Luise Ge, Daniel Halpern, Evi Micha, Ariel D. Procaccia, Itai Shapira, Yevgeniy Vorobeychik, Junlin Wu
✦Spotlight✦ in 38th Annual Conference on Neural Information Processing Systems (NeurIPS), 2024.
Learning Linear Utility Functions From Pairwise Comparison Queries
Luise Ge, Brendan Juba and Yevegniy Vorobeychik
Fair allocation: implementing and evaluating an algorithm for competitive allocation of chores
Outstanding undergraduate thesis supervised by Kousha Etessami
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