YooJung Choi
YooJung Choi
PhD Student, UCLA
Verified email at cs.ucla.edu
Title
Cited by
Cited by
Year
What to expect of classifiers? reasoning about logistic regression with missing features
P Khosravi, Y Liang, YJ Choi, GV Broeck
arXiv preprint arXiv:1903.01620, 2019
242019
On tractable computation of expected predictions
P Khosravi, YJ Choi, Y Liang, A Vergari, GV Broeck
arXiv preprint arXiv:1910.02182, 2019
182019
The Institutional Life of Algorithmic Risk Assessment
A Solow-Niederman, YJ Choi, G Van den Broeck
Berkeley Tech. LJ 34, 705, 2019
182019
Optimal feature selection for decision robustness in Bayesian networks
YJ Choi, A Darwiche, G Van den Broeck
Proceedings of the 26th International Joint Conference on Artificial …, 2017
182017
Handling missing data in decision trees: A probabilistic approach
P Khosravi, A Vergari, YJ Choi, Y Liang, GV Broeck
arXiv preprint arXiv:2006.16341, 2020
132020
On robust trimming of bayesian network classifiers
YJ Choi, GV Broeck
arXiv preprint arXiv:1805.11243, 2018
102018
Learning fair naive bayes classifiers by discovering and eliminating discrimination patterns
YJ Choi, G Farnadi, B Babaki, G Van den Broeck
Proceedings of the AAAI Conference on Artificial Intelligence 34 (06), 10077 …, 2020
72020
Probabilistic circuits: Representations, inference, learning and applications
A Vergari, YJ Choi, R Peharz, G Van den Broeck
Tutorial at the The 34th AAAI Conference on Artificial Intelligence, 2020
62020
Group Fairness by Probabilistic Modeling with Latent Fair Decisions
YJ Choi, M Dang, GV Broeck
arXiv preprint arXiv:2009.09031, 2020
22020
Lecture Notes Probabilistic Circuits: Representation and Inference
YJ Choi, A Vergari, G Van den Broeck
February, 2020
12020
A Compositional Atlas of Tractable Circuit Operations: From Simple Transformations to Complex Information-Theoretic Queries
A Vergari, YJ Choi, A Liu, S Teso, GV Broeck
arXiv preprint arXiv:2102.06137, 2021
2021
What to Expect of Classifiers?
P Khosravi, Y Liang, YJ Choi, G Van den Broeck
Probabilistic Circuits: A Unifying Framework for Tractable Probabilistic Models
YJ Choi, A Vergari, G Van den Broeck
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Articles 1–13