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Jun Ho Yoon
ORCID
Publication Activity (10 Years)
Years Active: 2020-2022
Publications (10 Years): 4
Top Topics
Gaussian Process Regression
Differentially Private
Mixed Effects
Sparse Data
Top Venues
AISTATS
CoRR
J. Mach. Learn. Res.
UAI
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Publications
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Jun Ho Yoon
,
Seyoung Kim
EiGLasso for Scalable Sparse Kronecker-Sum Inverse Covariance Estimation.
J. Mach. Learn. Res.
23 (2022)
Jun Ho Yoon
,
Daniel P. Jeong
,
Seyoung Kim
Doubly Mixed-Effects Gaussian Process Regression.
AISTATS
(2022)
Jun Ho Yoon
,
Seyoung Kim
EiGLasso for Scalable Sparse Kronecker-Sum Inverse Covariance Estimation.
CoRR
(2021)
Jun Ho Yoon
,
Seyoung Kim
EiGLasso: Scalable Estimation of Cartesian Product of Sparse Inverse Covariance Matrices.
UAI
(2020)