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  • Mathematics

Faculty - Mathematics

  • Assistant Professor Statistics / Machine Learning
  • CHOI, YOUNG-GEUN 홈페이지 바로가기

Research Interest

Multivariate analysis, causal inference, multi-armed bandits, dynamic pricing, applied statistics

Education

  • PhD, Department of Statistics, Seoul National University (2015)
  • BSc, Department of Mathematics Education, Seoul National University (2015)

Experience

  • Assistant Professor, Department of Statistics, Sookmyung Women's University (2019-2023)
  • Research Scientist, Data Labs, SK Telecom (2018-2019)
  • Postdoctoral Fellow, Public Health Sciences Divison, Fred Hutchinson Cancer Research Center (2016-2018)

Journal Articles

  • (2023)  Semi-parametric contextual bandits with graph-Laplacian regularization.  INFORMATION SCIENCES.  645, 
  • (2023)  Model-based clustering of mixed data with sparse dependence.  IEEE ACCESS.  11, 
  • (2022)  Estimation and inference on high-dimensional individualized treatment rule in observational data using split-and-pooled de-correlated score.  JOURNAL OF MACHINE LEARNING RESEARCH.  23,  -
  • (2022)  The association between statin and COVID-19 adverse outcomes: national COVID-19 cohort in South Korea.  ANNALS OF PALLIATIVE MEDICINE.  11,  4
  • (2022)  An efficient parallel block coordinate descent algorithm for large-scale precision matrix estimation using graphics processing units.  COMPUTATIONAL STATISTICS.  37,  1
  • (2022)  Simultaneous spatial smoothing and outlier detection using penalized regression, with application to childhood obesity surveillance from electronic health records.  BIOMETRICS.  78,  1
  • (2021)  Test for Uniformity of Exchangeable Random Variables on the Circle.  JOURNAL OF THE KOREAN STATISTICAL SOCIETY.  50,  2
  • (2021)  Positive-definite modification of a covariance matrix by minimizing the matrix l(infinity) norm with applications to portfolio optimization.  ASTA-ADVANCES IN STATISTICAL ANALYSIS.  105,  4
  • (2019)  Fixed support positive-definite modification of covariance matrix estimators via linear shrinkage.  JOURNAL OF MULTIVARIATE ANALYSIS.  171,  1
  • (2019)  High-dimensional Markowitz portfolio optimization problem: empirical comparison of covariance matrix estimators.  JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION.  89,  7
  • (2019)  A GENERAL CLASS FOR QUASI-INDEPENDENCE TESTS FOR LEFT-TRUNCATED RIGHT-CENSORED DATA.  STATISTICA SINICA.  29,  2
  • (2017)  Generalized estimating equations with stabilized working correlation structure.  COMPUTATIONAL STATISTICS & DATA ANALYSIS.  106,  2
  • (2017)  Regularized LRT for large scale covariance matrices: One sample problem.  JOURNAL OF STATISTICAL PLANNING AND INFERENCE.  180,  1

Conference Paper

  • (2023)  Semi-Parametric Contextual Pricing Algorithm using Cox Proportional Hazards Model.  International Conference on Machine Learning.  UNITED STATES