Learning Large-Scale Poisson DAG Models based on OverDispersion Scoring. - Gunwoong Park; Garvesh Raskutti (NIPS, 2015)

Identifiability assumptions for directed graphical models with feedback. - Gunwoong Park; Garvesh Raskutti (CoRR, 2016)

Learning Quadratic Variance Function (QVF) DAG Models via OverDispersion Scoring (ODS). - Gunwoong Park; Garvesh Raskutti (J. Mach. Learn. Res., 2017)

Learning Generalized Hypergeometric Distribution (GHD) DAG models. - Gunwoong Park (CoRR, 2018)

High-Dimensional Poisson DAG Model Learning Using ε1-Regularized Regression. - Gunwoong Park (CoRR, 2018)

Identifiability of Generalized Hypergeometric Distribution (GHD) Directed Acyclic Graphical Models. - Gunwoong Park; Hyewon Park (AISTATS, 2019)

Identifiability of Gaussian Structural Equation Models with Homogeneous and Heterogeneous Error Variances. - Gunwoong Park (CoRR, 2019)

High-Dimensional Poisson Structural Equation Model Learning via $ ell_1$-Regularized Regression. - Gunwoong Park; Sion Park (J. Mach. Learn. Res., 2019)

Identifiability of Additive Noise Models Using Conditional Variances. - Gunwoong Park (J. Mach. Learn. Res., 2020)

Covariate Correcting Networks for Identifying Associations Between Socioeconomic Factors and Brain Outcomes in Children. - Hyuna Cho; Gunwoong Park; Amal Isaiah; Won Hwa Kim (MICCAI (7), 2021)

Learning high-dimensional Gaussian linear structural equation models with heterogeneous error variances. - Gunwoong Park; Yesool Kim (Comput. Stat. Data Anal., 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)

Bayesian Approach to Linear Bayesian Networks. - Seyong Hwang; Kyoungjae Lee; Sunmin Oh; Gunwoong Park (CoRR, 2023)

Computationally Efficient Learning of Gaussian Linear Structural Equation Models with Equal Error Variances. - Gunwoong Park (J. Comput. Graph. Stat., 2023)

Densely connected sub-Gaussian linear structural equation model learning via ℓ1- and ℓ2-regularized regressions. - Semin Choi; Yesool Kim; Gunwoong Park (Comput. Stat. Data Anal., 2023)

Optimal estimation of linear non-Gaussian structure equation models. - Sunmin Oh; Seungsu Han; Gunwoong Park (AISTATS, 2025)

Discretization: Privacy-preserving data publishing for causal discovery. - Youngmin Ahn; Woongjoon Park; Gunwoong Park (Comput. Stat. Data Anal., 2025)