About me
I am a PhD student in the Computer Science department at UCLA, advised by Guy Van den Broeck. I am part of the Statistical and Relational Artificial Intelligence (StarAI) lab. My research interests are in tractable probabilistic models, graphical models, knowledge compilation, and trustworthy AI/ML (robustness, fairness, explainability, and more).
News
- January 2022: Our paper Solving Marginal MAP Exactly by Probabilistic Circuit Transformations was accepted to AISTATS 2022!
- October 2021: Our paper A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference was accepted for a full oral presentation at NeurIPS 2021!
- June 2021: I received the 2021-2022 UCLA Dissertation Year Fellowship
- May 2021: I received the UCLA Computer Science Outstanding Graduate Student Research Award
- January 2021: We presented our tutorial Probabilistic Circuits: Representations, Inference, Learning and Theory at IJCAI-PRICAI 2020
Recent publications
Solving Marginal MAP Exactly by Probabilistic Circuit Transformations
YooJung Choi, Tal Friedman, and Guy Van den Broeck.
In Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS), 2022.
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A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference
Antonio Vergari, YooJung Choi, Anji Liu, Stefano Teso, and Guy Van den Broeck.
In Advances in Neural Information Processing Systems 35 (NeurIPS), 2021.
Oral presentation (acceptance rate 55/9122 = 0.6%)
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Code
Group Fairness by Probabilistic Modeling with Latent Fair Decisions
YooJung Choi, Meihua Dang, and Guy Van den Broeck.
In Proceedings of the 35th AAAI Conference on Artificial Intelligence, 2021.
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Slides
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Probabilistic Circuits: A Unifying Framework for Tractable Probabilistic Models
YooJung Choi, Antonio Vergari, and Guy Van den Broeck.
(Unpublished manuscript), 2020.
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BibTex