Gunwoong Park
Gunwoong Park
Assistant Professor of Statistics, University of Seoul
Verified email at uos.ac.kr
Title
Cited by
Cited by
Year
Learning large-scale poisson dag models based on overdispersion scoring
G Park, G Raskutti
Advances in Neural Information Processing Systems 28, 631-639, 2015
232015
Learning Quadratic Variance Function (QVF) DAG Models via OverDispersion Scoring (ODS).
G Park, G Raskutti
J. Mach. Learn. Res. 18, 224:1-224:44, 2017
202017
Identifiability of generalized hypergeometric distribution (ghd) directed acyclic graphical models
G Park, H Park
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
13*2019
Identifiability of gaussian linear structural equation models with homogeneous and heterogeneous error variances
G Park, Y Kim
Journal of the Korean Statistical Society 49 (1), 276-292, 2020
82020
Identifiability of Additive Noise Models Using Conditional Variances.
G Park
J. Mach. Learn. Res. 21 (75), 1-34, 2020
72020
High-Dimensional Poisson Structural Equation Model Learning via \ell_1-Regularized Regression.
G Park, S Park
J. Mach. Learn. Res. 20, 95:1-95:41, 2019
62019
Discovering a fine dust pathway via directed acyclic graphical models
G Park
The Korean Data & Information Science Society 30 (1), 67-76, 2019
42019
Identifiability assumptions and algorithm for directed graphical models with feedback
G Park, G Raskutti
arXiv preprint arXiv:1602.04418, 2016
42016
Learning high-dimensional Gaussian linear structural equation models with heterogeneous error variances
G Park, Y Kim
Computational Statistics & Data Analysis 154, 107084, 2021
12021
A Poisson directed acyclic graphical model for analyzing Korean baseball batter’s characteristics
H Park, G Park
The Korean Data & Information Science Society 30 (4), 873-884, 2019
12019
Identifiability of Gaussian Structural Equation Models with Homogeneous and Heterogeneous Error Variances
G Park, Y Kim
arXiv preprint arXiv:1901.10134, 2019
12019
High-Dimensional Poisson DAG Model Learning Using -Regularized Regression
G Park, S Park
arXiv preprint arXiv:1810.02501, 2018
12018
Learning a High-dimensional Linear Structural Equation Model via l1-Regularized Regression
G Park, SJ Moon, S Park, JJ Jeon
Journal of Machine Learning Research 22 (102), 1-41, 2021
2021
Gaussian linear structural equation model learning using prior information
Y Kim, Y Kim, G Park
The Korean Data & Information Science Society 31 (4), 489-500, 2020
2020
Large-scale directed graphical models learning
G Park
The University of Wisconsin-Madison, 2016
2016
Comparison of Attributed Network Clustering Approaches to Analyzing Seoul Public Bike Stations
Y Choi, J Lee, G Park
Stat, e415, 0
Identifiability of Generalized Hypergeometric Distribution (GHD) Directed Acyclic Graphical Models Open Website
G Park
Supplementary for Identifiability of Generalized Hypergeometric Distribution (GHD) DAG Models
G Park, H Park
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Articles 1–18