YooJung Choi

Orcid: 0009-0009-8102-4170

Affiliations:
  • Arizona State University, Tempe, AZ, USA
  • University of California Los Angeles, USA (PhD 2022)


According to our database1, YooJung Choi authored at least 17 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Probabilistic Circuits for Knowledge Graph Completion with Reduced Rule Sets.
CoRR, August, 2025

On the Hardness of Approximating Distributions with Probabilistic Circuits.
CoRR, June, 2025

Optimal Transport for Probabilistic Circuits.
Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

2024
A Circus of Circuits: Connections Between Decision Diagrams, Circuits, and Automata.
CoRR, 2024

A Compositional Atlas for Algebraic Circuits.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Certifying Fairness of Probabilistic Circuits.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Probabilistic Reasoning and Learning for Trustworthy AI.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Solving Marginal MAP Exactly by Probabilistic Circuit Transformations.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
A Compositional Atlas of Tractable Circuit Operations: From Simple Transformations to Complex Information-Theoretic Queries.
CoRR, 2021

A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Group Fairness by Probabilistic Modeling with Latent Fair Decisions.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Handling Missing Data in Decision Trees: A Probabilistic Approach.
CoRR, 2020

Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
On Tractable Computation of Expected Predictions.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
On Robust Trimming of Bayesian Network Classifiers.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Optimal Feature Selection for Decision Robustness in Bayesian Networks.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017


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