Research Interests
Machine Learning: Probabilistic and Statistical Modeling
Machine Learning: Graphs
Machine Learning: Applications
Education
Ph.D. in Computational Biology, School of Computer Science, Carnegie Mellon University, 2023
B.S. in Computer Science, Columbia University, 2017
Publications
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Learning Gene Networks Under SNP Perturbation Using SNP and Allele-Specific Expression Data
Jun Ho Yoon, Seyoung Kim.
bioRxiv doi: 10.1101/2023.10.23.563661, 2023.
[preprint, software] -
Doubly Mixed-Effects Gaussian Process Regression
Jun Ho Yoon, Daniel P. Jeong, Seyoung Kim.
Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR 151:6893-6908, 2022.
Accepted for oral presentation (2.6% of submitted papers).
[paper, software] -
EiGLasso for Scalable Sparse Kronecker-Sum Inverse Covariance Estimation
Jun Ho Yoon, Seyoung Kim.
Journal of Machine Learning Research, 23(110):1−39, 2022.
[paper, software] -
EiGLasso: Scalable Estimation of Cartesian Product of Sparse Inverse Covariance Matrices
Jun Ho Yoon, Seyoung Kim.
Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1248-1257, 2020.
[paper, talk, software]