Gunwoong Park

According to our database, Gunwoong Park authored at least 15 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Densely connected sub-Gaussian linear structural equation model learning via <i>ℓ</i>₁- and <i>ℓ</i>₂-regularized regressions.

Semin Choi, Yesool Kim, Gunwoong Park

Comput. Stat. Data Anal., May, 2023

Computationally Efficient Learning of Gaussian Linear Structural Equation Models with Equal Error Variances.

Gunwoong Park

J. Comput. Graph. Stat., 2023

Bayesian Approach to Linear Bayesian Networks.

Seyong Hwang, Kyoungjae Lee, Sunmin Oh, Gunwoong Park

CoRR, 2023

2021

Learning a High-dimensional Linear Structural Equation Model via l1-Regularized Regression.

Gunwoong Park, Sang Jun Moon, Sion Park, Jong-June Jeon

J. Mach. Learn. Res., 2021

Learning high-dimensional Gaussian linear structural equation models with heterogeneous error variances.

Gunwoong Park, Yesool Kim

Comput. Stat. Data Anal., 2021

Covariate Correcting Networks for Identifying Associations Between Socioeconomic Factors and Brain Outcomes in Children.

Hyuna Cho, Gunwoong Park, Amal Isaiah, Won Hwa Kim

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Identifiability of Additive Noise Models Using Conditional Variances.

Gunwoong Park

J. Mach. Learn. Res., 2020

2019

High-Dimensional Poisson Structural Equation Model Learning via $\ell_1$-Regularized Regression.

Gunwoong Park, Sion Park

J. Mach. Learn. Res., 2019

Identifiability of Gaussian Structural Equation Models with Homogeneous and Heterogeneous Error Variances.

Gunwoong Park

CoRR, 2019

Identifiability of Generalized Hypergeometric Distribution (GHD) Directed Acyclic Graphical Models.

Gunwoong Park, Hyewon Park

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

High-Dimensional Poisson DAG Model Learning Using ε₁-Regularized Regression.

Gunwoong Park

CoRR, 2018

Learning Generalized Hypergeometric Distribution (GHD) DAG models.

Gunwoong Park

CoRR, 2018

2017

Learning Quadratic Variance Function (QVF) DAG Models via OverDispersion Scoring (ODS).

Gunwoong Park, Garvesh Raskutti

J. Mach. Learn. Res., 2017

2016

Identifiability assumptions for directed graphical models with feedback.

Gunwoong Park, Garvesh Raskutti

CoRR, 2016

2015

Learning Large-Scale Poisson DAG Models based on OverDispersion Scoring.

Gunwoong Park, Garvesh Raskutti

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015