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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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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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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.
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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.
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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.
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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.
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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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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.
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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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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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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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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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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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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.
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A Probabilistic Approach to Fairness under Label Bias
Saurav Anchlia and YooJung Choi.
In the 6th Workshop on Tractable Probabilistic Modeling (TPM), 2023.
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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.
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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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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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Optimal Transport for Probabilistic Circuits
Adrian Ciotinga and YooJung Choi.
In the 41st Conference on Uncertainty in Artificial Intelligence (UAI), 2025.
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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%)
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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
Discovering and Learning Probabilistic Models of Black-Box AI Capabilities
Daniel Bramblett, Rushang Karia, Adrian Ciotinga, Ruthvick Suresh, Pulkit Verma, YooJung Choi, and Siddharth Srivastava.
(preprint), 2025.
arXiv
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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