Ivy Profile

Academic History

• Ph.D., Industrial Engineering and Management Sciences, Northwestern University, 2015

Expertise

• Business Analytics

• Machine Learning

• Operations Research

• Optimization

Selected Publications

• Lee, K. B., Han, S., Baik, H., Jeong, Y., & Park, Y. W. (2024) "Observation Weights Matching Approach for Causal Inference", Pattern Recognition, 154:110549. Link to Paper

• Jeong, Y., Lee, K. B., Park, Y. W., & Han, S. (2024) "Systematic Approach for Learning Imbalanced Data: Enhancing Zero-Inflated Models through Boosting", Machine Learning, 113:8233-8299. Link to Paper

• Park, Y.W., Kim, J., & Zhu, D. (2024) "Discordance Minimization-based Imputation Algorithms for Missing Values in Rating Data", Machine Learning, 113:241-279. Link to Paper

• Park, Y. W., Voss, G. B., & Voss, Z. G. (2023) "Advancing customer diversity, equity, and inclusion: Measurement, stakeholder influence, and the role of marketing", Journal of the Academy of Marketing Science, 51:174-197. Link to Paper

• Park, Y. W., Blackhurst, J., Paul, C., & Scheibe, K. P. (2022) "An Analysis of The Ripple Effect for Disruptions Occurring in Circular Flows of A Supply Chain Network", International Journal of Production Research, 60 (15):4693-4711. Link to Paper

• Park, Y. W., & Klabjan, D. (2020) "Subset Selection for Multiple Linear Regression via Optimization", Journal of Global Optimization, 77 (3):543-574. Link to Paper

• Chung, S., Park, Y. W., & Cheong, T. (2020) "A Mathematical Programming Approach for Integrated Multiple Linear Regression Subset Selection and Validation", Pattern Recognition, 108:107565. Link to Paper

• Park, Y. W. (2020) "MILP Models for Complex System Reliability Redundancy Allocation with Mixed Components", INFORMS Journal on Computing, 32 (3):600-619. Link to Paper

• Park, Y. W. (2021) "Optimization for L1-Norm Error Fitting via Data Aggregation", INFORMS Journal on Computing, 33 (1):120-142. Link to Paper

• Kim, J., Park, Y. W., & Williams, A. J. (2021) "A Mathematical Programming Approach for Imputation of Unknown Journal Ratings in a Combined Journal Quality List", Decision Sciences, 52 (2):455-482. Link to Paper

• Park, Y. W., & Klabjan, D. (2017) "Bayesian Network Learning via Topological Order", Journal of Machine Learning Research, 18 (99):1-32. Link to Paper

• Y.W. Park, Y. Jiang, D. Klabjan, and L. Williams (2017) "Algorithms for Generalized Cluster-Wise Linear Regression", INFORMS Journal on Computing, 29 (2):301-317. Link to Paper

• Park, Y. W., & Klabjan, D. (2016) "An Aggregate and Iterative Disaggregate Algorithm with Proven Optimality in Machine Learning", Machine Learning, 105:199-232. Link to Paper