Posts by Collection

Portfolio item number 1

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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(Unpublished manuscript), 2020.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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Using Knowledge Compilation to Solve PP^PP-Complete Problems

Probabilistic Circuit Languages

Reasoning about Decision-Making Systems under Uncertainty

Probabilistic Circuits: Representations, Inference, Learning and Applications

Probabilistic Circuits: Representations, Inference, Learning and Theory

Tractable Probabilistic Reasoning for Trustworthy AI

Exact Inference of “Harder” Queries on Probabilistic Circuits

Probabilistic Circuits: Representations, Learning, and Reasoning

Tractable Inference with Probabilistic Circuits

Probabilistic Reasoning and Learning for Trustworthy AI

Logic and Probabilistic Circuits

Tackling Bias and Uncertainty with Tractable Probabilistic Reasoning

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