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Yoonkyung Lee

  • Professor, Computer Science & Engineering
  • Professor, Statistics
  • 1958 Neil Ave
    305B
    Columbus, OH 43210
  • 614-292-9495

Honors

  • 20150801

    Fellow.

  • 20070101-20070301

    Fellowship.

Chapters

2010

  • 2010. "Support vector machines for classification: A statistical portrait." In Statistical methods in molecular biology, edited by Bang, H., Zhou, X. K., Van Epps, H. L., and Mazumdar, M.,

2009

  • 2009. "Design and analysis of microarray experiments for pharmacogenomics." In Multiple testing problems in pharmaceutical statistics, edited by Dmitrienko, A., Tamhane, A. C., and Bretz, F.,

Journal Articles

2015

  • Lee, Y.; Wang, R., 2015, "Does modeling lead to more accurate classification?: A study of relative efficiency in linear classification." JOURNAL OF MULTIVARIATE ANALYSIS 133, 232-250 - 232-250.
  • Jung, Y.; Lee, Y.; MacEachern, S.N., 2015, "Efficient quantile regression for heteroscedastic models." JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION 85, no. 13, 2548-2568 - 2548-2568.
  • Uematsu, K.; Lee, Y., 2015, "Statistical Optimality in Multipartite Ranking and Ordinal Regression." IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 37, no. 5, 1080-1094 - 1080-1094.

2014

  • Yao, Y. and Lee, Y., 2014, "Another look at linear programming for feature selection via methods of regularization." STATISTICS AND COMPUTING 24, no. 5, 885-905 - 885-905.
  • Liu, C., Shi, T., and Lee, Y., 2014, "Two tales of variable selection for high dimensional regression: Screening and model building." STATISTICAL ANALYSIS AND DATA MINING 7, 140-159 - 140-159.
  • Lee, Y., 2014, "Comments on: Support vector machines maximizing geometric margins for multi-class classification." TOP 22, no. 3, 852-855 - 852-855.

2013

  • Liang, Z.; Lee, Y., 2013, "Eigen-Analysis of Nonlinear PCA with Polynomial Kernels." STATISTICAL ANALYSIS AND DATA MINING 6, no. 6, 529-544 - 529-544.

2012

  • Lee, Y.; MacEachern, S.N.; Jung, Y., 2012, "Regularization of Case-Specific Parameters for Robustness and Efficiency." STATISTICAL SCIENCE 27, no. 3, 350-372 - 350-372.

2008

  • Rao, Y.; Lee, Y.; Jarjoura, D.; Ruppert, A.S. et al., 2008, "A comparison of normalization techniques for microRNA microarray data." STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY 7, no. 1,
  • Koo, J.-Y., Lee, Y., Kim, Y., and Park, C., 2008, "A Bahadur representation of the linear support vector machine." JOURNAL OF MACHINE LEARNING RESEARCH 9, 1343-1368 - 1343-1368.

2006

  • Lee, Y., 2006, "Semiparametric Regression by David Ruppert, M. P. Wand, and R. J. Carroll." JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION 101, 1722-1723 - 1722-1723.
  • Lee, Y.; Cui, Z., 2006, "Characterizing the solution path of multicategory support vector machines." STATISTICA SINICA 16, no. 2, 391-409 - 391-409.
  • Lee, Y.; Kim, Y.; Lee, S.; Koo, J-Y., 2006, "Structured multicategory support vector machines with analysis of variance decomposition." BIOMETRIKA 93, no. 3, 555-571 - 555-571.

2004

  • Lee, Y.; Wahba, G.; Ackerman, S.A., 2004, "Cloud classification of satellite radiance data by multicategory support vector machines." JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY 21, no. 2, 159-169 - 159-169.
  • Lee, Y.K.; Lin, Y.; Wahba, G., 2004, "Multicategory support vector machines: Theory and application to the classification of microarray data and satellite radiance data." JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION 99, no. 465, 67-81 - 67-81.

2003

  • Wahba, G.; Lin, Y.; Lee, Y.; Zhang, H., 2003, "Optimal properties and adaptive tuning of standard and nonstandard support vector machines." NONLINEAR ESTIMATION AND CLASSIFICATION 171, 129-147 - 129-147.

2002

  • Lin, Y.; Lee, Y.; Wahba, G., 2002, "Support vector machines for classification in nonstandard situations." MACHINE LEARNING 46, no. 1-3, 191-202 - 191-202.
  • Lin, Y.; Wahba, G.; Zhang, H.; Lee, Y., 2002, "Statistical properties and adaptive tuning of support vector machines." MACHINE LEARNING 48, no. 1-3, 115-136 - 115-136.

Presentations

  • "Another Look at Linear Programming for Feature Selection via Methods of Regularization." 2007, Presented at Statistics-Econometrics Seminar, Columbia University,
  • "Two Tales of Variable Selection for High Dimensional Regression: Screening and Model Building." 2012, Presented at The second Institute of Mathematical Statistics Asia Pacific Rim Meeting,

Papers in Proceedings

2012

  • Lewis, J. R., MacEachern, S. N., and Lee, Y. "Robust inference via the blended paradigm." (12 2012).

2003

  • Lee, Y.; Lee, C.K. "Classification of multiple cancer types by tip multicategory support vector machines using gene expression data." in NIPS Workshop on Machine Learning Techniques for Bioinformatics. (6 2003).

2001

  • Lee, Y., Lin, Y., and Wahba, G. "Multicategory support vector machines." in 33rd Symposium on the Interface. (6 2001).