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YooJung Choi 0001
Person information
- affiliation: Arizona State University, Tempe, AZ, USA
- affiliation (PhD 2022): University of California Los Angeles, USA
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2020 – today
- 2024
- [i10]Antoine Amarilli, Marcelo Arenas, YooJung Choi, Mikaël Monet, Guy Van den Broeck, Benjie Wang:
A Circus of Circuits: Connections Between Decision Diagrams, Circuits, and Automata. CoRR abs/2404.09674 (2024) - 2023
- [c10]Nikil Roashan Selvam, Guy Van den Broeck, YooJung Choi:
Certifying Fairness of Probabilistic Circuits. AAAI 2023: 12278-12286 - [c9]YooJung Choi:
Probabilistic Reasoning and Learning for Trustworthy AI. AAAI 2023: 15433 - 2022
- [c8]YooJung Choi
, Tal Friedman, Guy Van den Broeck:
Solving Marginal MAP Exactly by Probabilistic Circuit Transformations. AISTATS 2022: 10196-10208 - [i9]Nikil Roashan Selvam, Guy Van den Broeck, YooJung Choi
:
Certifying Fairness of Probabilistic Circuits. CoRR abs/2212.02474 (2022) - 2021
- [c7]YooJung Choi, Meihua Dang, Guy Van den Broeck:
Group Fairness by Probabilistic Modeling with Latent Fair Decisions. AAAI 2021: 12051-12059 - [c6]Antonio Vergari, YooJung Choi
, Anji Liu, Stefano Teso, Guy Van den Broeck:
A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference. NeurIPS 2021: 13189-13201 - [i8]Antonio Vergari, YooJung Choi, Anji Liu, Stefano Teso, Guy Van den Broeck:
A Compositional Atlas of Tractable Circuit Operations: From Simple Transformations to Complex Information-Theoretic Queries. CoRR abs/2102.06137 (2021) - [i7]YooJung Choi, Tal Friedman, Guy Van den Broeck:
Solving Marginal MAP Exactly by Probabilistic Circuit Transformations. CoRR abs/2111.04833 (2021) - 2020
- [c5]YooJung Choi, Golnoosh Farnadi, Behrouz Babaki, Guy Van den Broeck:
Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns. AAAI 2020: 10077-10084 - [i6]Pasha Khosravi, Antonio Vergari, YooJung Choi, Yitao Liang, Guy Van den Broeck:
Handling Missing Data in Decision Trees: A Probabilistic Approach. CoRR abs/2006.16341 (2020) - [i5]YooJung Choi, Meihua Dang, Guy Van den Broeck:
Group Fairness by Probabilistic Modeling with Latent Fair Decisions. CoRR abs/2009.09031 (2020)
2010 – 2019
- 2019
- [c4]Pasha Khosravi, Yitao Liang, YooJung Choi
, Guy Van den Broeck:
What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features. IJCAI 2019: 2716-2724 - [c3]Pasha Khosravi, YooJung Choi
, Yitao Liang, Antonio Vergari, Guy Van den Broeck:
On Tractable Computation of Expected Predictions. NeurIPS 2019: 11167-11178 - [i4]Pasha Khosravi, Yitao Liang, YooJung Choi, Guy Van den Broeck:
What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features. CoRR abs/1903.01620 (2019) - [i3]YooJung Choi, Golnoosh Farnadi, Behrouz Babaki, Guy Van den Broeck:
Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns. CoRR abs/1906.03843 (2019) - [i2]Pasha Khosravi, YooJung Choi, Yitao Liang, Antonio Vergari, Guy Van den Broeck:
On Tractable Computation of Expected Predictions. CoRR abs/1910.02182 (2019) - 2018
- [c2]YooJung Choi
, Guy Van den Broeck:
On Robust Trimming of Bayesian Network Classifiers. IJCAI 2018: 5002-5009 - [i1]YooJung Choi, Guy Van den Broeck:
On Robust Trimming of Bayesian Network Classifiers. CoRR abs/1805.11243 (2018) - 2017
- [c1]YooJung Choi
, Adnan Darwiche, Guy Van den Broeck
:
Optimal Feature Selection for Decision Robustness in Bayesian Networks. IJCAI 2017: 1554-1560
Coauthor Index
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