Young Woong Park

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 20

Top Topics

Bayesian Network Learning

Subset Selection

Reweighted Least Squares

Top Venues

INFORMS J. Comput.

Publications

Kangbok Lee, Sumin Han, Hyeoncheol Baik, Yeasung Jeong, Young Woong Park
Observation weights matching approach for causal inference. Pattern Recognit. 154 (2024)
Jiana Meng, Young Woong Park, Chen Zhang
Joint Effects and Sequencing of Government Regulations in Sharing Economy Era. AMCIS (2024)
Young Woong Park, Jinhak Kim, Dan Zhu
Discordance minimization-based imputation algorithms for missing values in rating data. Mach. Learn. 113 (1) (2024)
Young Woong Park, Jinhak Kim, Dan Zhu
Discordance Minimization-based Imputation Algorithms for Missing Values in Rating Data. CoRR (2023)
Yeasung Jeong, Kang-Bok Lee, Sumin Han, Young Woong Park, Junyoung Park
CIO Turnover and its Consequences for Competitors. AMCIS (2023)
Young Woong Park, Jennifer Blackhurst, Chinju Paul, Kevin P. Scheibe
An analysis of the ripple effect for disruptions occurring in circular flows of a supply chain network. Int. J. Prod. Res. 60 (15) (2022)
Jinhak Kim, Young Woong Park, Alvin J. Williams
A Mathematical Programming Approach for Imputation of Unknown Journal Ratings in a Combined Journal Quality List. Decis. Sci. 52 (2) (2021)
Young Woong Park
-Norm Error Fitting via Data Aggregation. INFORMS J. Comput. 33 (1) (2021)
Young Woong Park, Diego Klabjan
Subset selection for multiple linear regression via optimization. J. Glob. Optim. 77 (3) (2020)
Young Woong Park
MILP Models for Complex System Reliability Redundancy Allocation with Mixed Components. INFORMS J. Comput. 32 (3) (2020)
Seokhyun Chung, Young Woong Park, Taesu Cheong
A mathematical programming approach for integrated multiple linear regression subset selection and validation. Pattern Recognit. 108 (2020)
Young Woong Park, Diego Klabjan
-norm principal component analysis. Knowl. Inf. Syst. 54 (3) (2018)
Young Woong Park, Diego Klabjan
Bayesian Network Learning via Topological Order. J. Mach. Learn. Res. 18 (2017)
Young Woong Park, Diego Klabjan
Bayesian Network Learning via Topological Order. CoRR (2017)
Young Woong Park, Yan Jiang, Diego Klabjan, Loren Williams
Algorithms for Generalized Clusterwise Linear Regression. INFORMS J. Comput. 29 (2) (2017)
Young Woong Park, Diego Klabjan
An Aggregate and Iterative Disaggregate Algorithm with Proven Optimality in Machine Learning. CoRR (2016)
Young Woong Park, Diego Klabjan
Iteratively Reweighted Least Squares Algorithms for L1-Norm Principal Component Analysis. ICDM (2016)
Young Woong Park, Diego Klabjan
An aggregate and iterative disaggregate algorithm with proven optimality in machine learning. Mach. Learn. 105 (2) (2016)
Young Woong Park, Yan Jiang, Diego Klabjan, Loren Williams
Algorithms for Generalized Cluster-wise Linear Regression. CoRR (2016)
Young Woong Park, Diego Klabjan
Iteratively Reweighted Least Squares Algorithms for L1-Norm Principal Component Analysis. CoRR (2016)
Sergey Shebalov, Young Woong Park, Diego Klabjan
Lifting for mixed integer programs with variable upper bounds. Discret. Appl. Math. 186 (2015)
Young Woong Park, Diego Klabjan
Lot sizing with minimum order quantity. Discret. Appl. Math. 181 (2015)