Online Structure Learning of Probabilistic Circuits
Stefan Wagner, Anish Kuttetira, and YooJung Choi.
In the 9th Workshop on Tractable Probabilistic Modeling (TPM), 2026.
PDF Poster
Publications
Statistical Guarantees for Probabilistic Circuit Parameter Learning
John Leland and YooJung Choi.
In the 9th Workshop on Tractable Probabilistic Modeling (TPM), 2026.
PDF Poster
PeTeR: Post-Training Robustification of Probabilistic Circuits
Adrian Ciotinga, Yeming Dai, and YooJung Choi.
In the 9th Workshop on Tractable Probabilistic Modeling (TPM), 2026.
PDF
Structured reasoning failures compromise LLM interpretation of clinical oncology notes
Matthew W. Kenaston, Umair Ayub, Mihir Parmar, Priya Kumar, Muhammad Umair Anjum, Syed Arsalan Ahmed Naqvi, Aadel A. Chaudhuri, Yousef Zakharia, Elisabeth I. Heath, Tanios S. Bekaii-Saab, Cui Tao, Eliezer M. Van Allen, Ben Zhou, YooJung Choi, Chitta Baral, and Irbaz Bin Riaz.
In npj Digital Medicine, 2026.
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Autonomous Assessment of Generalizability of AI Agent Capabilities
Daniel Bramblett, Rushang Karia, Adrian Ciotinga, Pulkit Verma, YooJung Choi, and Siddharth Srivastava.
In ICAPS 2026 Workshop on Generalization in Planning, 2026.
PDF
A canonical generalization of OBDD
Florent Capelli, YooJung Choi, Stefan Mengel, Martín Muñoz, and Guy Van den Broeck.
In Proceedings of the 29th International Conference on Theory and Applications of Satisfiability Testing (SAT), 2026.
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Probabilistic Circuits for Knowledge Graph Completion with Reduced Rule Sets
Jaikrishna Manojkumar Patil, Nathaniel Lee, Al Mehdi Saadat Chowdhury, YooJung Choi, and Paulo Shakarian.
(preprint), 2025.
arXiv
On the Hardness of Approximating Distributions with Tractable Probabilistic Models
John Leland and YooJung Choi.
In Advances in Neural Information Processing Systems 39 (NeurIPS), 2025.
Spotlight presentation (acceptance rate 688/21575 = 3.2%)
PDF Slides Poster
Optimal Transport for Probabilistic Circuits
Adrian Ciotinga and YooJung Choi.
In the 41st Conference on Uncertainty in Artificial Intelligence (UAI), 2025.
PDF Code
Fair Image Generation from Pre-trained Models by Probabilistic Modeling
Mahdi Ahmadi, John Leland, Agneet Chatterjee, and YooJung Choi.
In the Safe Generative AI Workshop at NeurIPS, 2024.
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A Compositional Atlas for Algebraic Circuits
Benjie Wang, Denis Deratani Mauá, Guy Van den Broeck, and YooJung Choi.
In Advances in Neural Information Processing Systems 38 (NeurIPS), 2024.
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A Circus of Circuits: Connections Between Decision Diagrams, Circuits, and Automata
Antoine Amarilli, Marcelo Arenas, YooJung Choi, Mikaël Monet, Guy Van den Broeck, and Benjie Wang.
(preprint), 2024.
arXiv
A Probabilistic Approach to Fairness under Label Bias
Saurav Anchlia and YooJung Choi.
In the 6th Workshop on Tractable Probabilistic Modeling (TPM), 2023.
PDF
Certifying Fairness of Probabilistic Circuits
Nikil Roashan Selvam, Guy Van den Broeck, and YooJung Choi.
In Proceedings of the 37th AAAI Conference on Artificial Intelligence, 2023.
PDF Code
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.
PDF
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%)
PDF 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.
PDF Slides Code
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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Handling Missing Data in Decision Trees: A Probabilistic Approach
Pasha Khosravi, Antonio Vergari, YooJung Choi, Yitao Liang, and Guy Van den Broeck.
In The Art of Learning with Missing Values Workshop at ICML (Artemiss), 2020.
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Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns
YooJung Choi*, Golnoosh Farnadi*, Behrouz Babaki*, and Guy Van den Broeck.
In Proceedings of the 34th AAAI Conference on Artificial Intelligence, 2020.
PDF Code
The Institutional Life of Algorithmic Risk Assessment
Alicia Solow-Niederman, YooJung Choi, and Guy Van den Broeck.
In Berkeley Technology Law Journal (BTLJ), 2019.
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On Tractable Computation of Expected Predictions
Pasha Khosravi, YooJung Choi, Yitao Liang, Antonio Vergari, and Guy Van den Broeck.
In Advances in Neural Information Processing Systems 33 (NeurIPS), 2019.
PDF Code
What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features
Pasha Khosravi, Yitao Liang, YooJung Choi, and Guy Van den Broeck.
In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019.
PDF Slides Code
The Institutional Life of Algorithms: Lessons from California’s Money Bail Reform Act
Alicia Solow-Niederman, Guy Van den Broeck, and YooJung Choi.
In The 8th Annual Conference On Robotics, Law & Policy (WeRobot), 2019.
PDF
On Robust Trimming of Bayesian Network Classifiers
YooJung Choi and Guy Van den Broeck.
In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI), 2018.
PDF Slides
Optimal Feature Selection for Decision Robustness in Bayesian Networks
YooJung Choi, Adnan Darwiche, and Guy Van den Broeck.
In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), 2017.
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