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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 13 papers between 2017 and 2024.

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

Timeline

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Online presence:

On csauthors.net:

Bibliography

2024
A Circus of Circuits: Connections Between Decision Diagrams, Circuits, and Automata.
[BibTeX]
[DOI]
Antoine Amarilli
,
Marcelo Arenas
,
YooJung Choi
,
Mikaël Monet
,
Guy Van den Broeck
,
Benjie Wang
CoRR, 2024

2023
Certifying Fairness of Probabilistic Circuits.
[BibTeX]
[DOI]
Nikil Roashan Selvam
,
Guy Van den Broeck
,
YooJung Choi
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Probabilistic Reasoning and Learning for Trustworthy AI.
[BibTeX]
[DOI]
YooJung Choi
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Solving Marginal MAP Exactly by Probabilistic Circuit Transformations.
[BibTeX]
[DOI]
YooJung Choi
,
Tal Friedman
,
Guy Van den Broeck
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.
[BibTeX]
[DOI]
Antonio Vergari
,
YooJung Choi
,
Anji Liu
,
Stefano Teso
,
Guy Van den Broeck
CoRR, 2021

A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference.
[BibTeX]
[DOI]
Antonio Vergari
,
YooJung Choi
,
Anji Liu
,
Stefano Teso
,
Guy Van den Broeck
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.
[BibTeX]
[DOI]
YooJung Choi
,
Meihua Dang
,
Guy Van den Broeck
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Handling Missing Data in Decision Trees: A Probabilistic Approach.
[BibTeX]
[DOI]
Pasha Khosravi
,
Antonio Vergari
,
YooJung Choi
,
Yitao Liang
,
Guy Van den Broeck
CoRR, 2020

Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns.
[BibTeX]
[DOI]
YooJung Choi
,
Golnoosh Farnadi
,
Behrouz Babaki
,
Guy Van den Broeck
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
On Tractable Computation of Expected Predictions.
[BibTeX]
[DOI]
Pasha Khosravi
,
YooJung Choi
,
Yitao Liang
,
Antonio Vergari
,
Guy Van den Broeck
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.
[BibTeX]
[DOI]
Pasha Khosravi
,
Yitao Liang
,
YooJung Choi
,
Guy Van den Broeck
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
On Robust Trimming of Bayesian Network Classifiers.
[BibTeX]
[DOI]
YooJung Choi
,
Guy Van den Broeck
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Optimal Feature Selection for Decision Robustness in Bayesian Networks.
[BibTeX]
[DOI]
YooJung Choi
,
Adnan Darwiche
,
Guy Van den Broeck
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017


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