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Yoonkyung Lee

  • Professor, Computer Science & Engineering
  • Professor, Statistics
  • 1958 Neil Ave
    440B
    Columbus, OH 43210
  • 614-292-9495

Honors

  • 2015

    Fellow. .

  • 2008

    Travel Award. .

  • 2007

    Fellowship. .

  • 2003

    Best Poster Award. .

  • 2003

    Travel Award. .

Chapters

2010

  • Lee, Y.. 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., 347 - 368. New York: Humana Press.

2009

  • Hsu, J., Rao, Y., Lee, Y., Chang, J., Bergsteinsdottir, K., Magnusson, M. K., Wang, T., and Steingrimsson, E.. 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., 239 - 264. Boca Raton, FL: Chapman & Hall/CRC.

Journal Articles

2015

  • Lee, Y. and 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.
  • Jung, Y., Lee, Y., and MacEachern, S. N., 2015, "Efficient quantile regression for heteroscedastic models." JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION 85, no. 13, 2548 - 2568.
  • Uematsu, K. and Lee, Y., 2015, "Statistical optimality in multipartite ranking and ordinal regression." IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 37, no. 5, 1080 - 1094.

2014

  • 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.
  • 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.
  • Lee, Y., 2014, "Comments on: Support vector machines maximizing geometric margins for multi-class classification." TOP 22, no. 3, 852 - 855.

2013

  • Liang, Z. and Lee, Y., 2013, "Eigen-analysis of nonlinear PCA with polynomial kernels." STATISTICAL ANALYSIS AND DATA MINING 6, 529 - 544.

2012

  • Lee, Y., MacEachern, S. N., and Jung, Y., 2012, "Regularization of case-specific parameters for robustness and efficiency." STATISTICAL SCIENCE 27, no. 3, 350 - 372.

2010

  • Lee,Yoonkyung, 2010, "Support vector machines for classification: a statistical portrait.." Methods in molecular biology (Clifton, N.J.) 620, 347 - 368.
  • Lee,Yoonkyung, 2010, "Support vector machines for classification: a statistical portrait.." Methods in molecular biology (Clifton, N.J.) 620, 347 - 368.

2008

  • Rao, Y., Lee, Y., Jarjoura, D., Ruppert, A. S., Liu, C., Hsu, J. C., and Hagan, J. P., 2008, "A comparison of normalization techniques for microRNA microarray data." STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY 7, no. 1, 22 -
  • 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.

2006

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

2004

  • Lee, Y., Wahba, G., and 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.
  • Lee, Y., Lin, Y., and 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.

2003

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

2002

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

Unknown

Presentations

  • "Generalized Principal Component Analysis: Dimensionality Reduction through the Projection of Natural Parameters." 2015, Presented at Youngnam Mathematical Society Annual Meeting, Busan, KR|KOR
  • "A Modern Look at Classical Multivariate Techniques (Part I: Regression, Part II: Classification, Part III: Dimensionality Reduction)." 2015, Presented at The 13th School of Probability and Statistics, Guanajuato, MX|MEX
  • "Part I: Does Modeling Lead to More Accurate Classification?; Part II: Statistical Analysis of Bipartite and Multipartite Ranking by Convex Risk Minimization." 2010, Presented at Summer School on Statistical Pattern Recognition, CIMAT (Center of Research in Mathematics), Guanajuato, MX|MEX
  • "A Comparison of Classification Methods for Robustness." 2012, Presented at The Joint Statistical Meetings, San Diego,
  • "Statistical Consistency of Multipartite Ranking." 2013, Presented at The Joint Statistical Meetings, Montreal, CA|CAN
  • "A Bahadur Representation of the Linear Support Vector Machine." 2008, Presented at The 7th World Congress in Probability and Statistics, SG|SGP
  • "A Bahadur Representation of the Linear Support Vector Machine." 2008, Presented at Data Mining and Statistical Learning Study Group, Department of Statistics, The Ohio State University, Columbus,
  • "Comparison of the Efficiency of Classification Methods." 2010, Presented at Data Mining and Statistical Learning Study Group, Department of Statistics, The Ohio State University, Columbus,
  • "Statistical Analysis of Bipartite and Multipartite Ranking by Convex Risk Minimization." 2010, Presented at Statistical Science - Making A Difference, 50th Anniversary Conference of the Department of Statistics, Madison,
  • "A Short Course on Kernel Methods in a Regularization Framework." 2007, Presented at Winter School, CIMAT (Center of Research in Mathematics), Guanajuato, MX|MEX
  • "Nonparametric Covariance Estimation with Shrinkage Toward Stationary Models." 2014, Presented at The Joint Statistical Meetings, Boston,
  • "Support Vector Machines for Classification: A Statistical Portrait." 2011, Presented at The Spring Conference of Korean Statistical Society, Daejeon, KR|KOR
  • "A Tutorial on Kernel Methods in a Regularization Framework." 2008, Presented at Fall Conference of Korean Statistical Society, Seoul, KR|KOR
  • "Kernel Methods in a Regularization Framework for Nonparametric Model Building." 2007, Presented at The Fall Workshop of ASA Cleveland Chapter, Cleveland, US|USA
  • "Another Look at Linear Programming for Feature Selection via Methods of Regularization." 2007, Presented at Statistics-Econometrics Seminar, Columbia University, New York,
  • "A Regularization Approach to Screening and Selection of Biomarkers." 2007, Presented at Department of Biostatistics, Washington University, St. Louis,
  • "A Bahadur Representation of the Linear Support Vector Machine." 2007, Presented at Department of Mathematics, Washington University, St. Louis,
  • "A Regularization Approach to Screening and Selection of Biomarkers." 2008, Presented at Department of Biostatistics and Bioinformatics, Emory University, Atlanta,
  • "Comparison of the Efficiency of Classification Methods." 2010, Presented at Department of Statistics, Indiana University, Indianapolis,
  • "Comparison of the Efficiency of Classification Methods." 2010, Presented at Department of Food and Resource Economics, University of Delaware, Newark,
  • "Support Vector Machines for Classification: A Statistical Portrait." 2011, Presented at Department of Statistics, Hoseo University, Asan, KR|KOR
  • "A Study of Relative Efficiency and Robustness of Classification Methods." 2011, Presented at Department of Statistics, University of Seoul, Seoul, KR|KOR
  • "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, Tsukuba, JP|JPN
  • "A Bahadur Representation of the Linear Support Vector Machine." 2007, Presented at Department of Statistics, University of Georgia, Athens,
  • "Does Modeling Lead to More Accurate Classification?." 2010, Presented at ICSA Applied Statistics Symposium, Indianapolis,
  • "Statistical Analysis of Bipartite Ranking by Convex Risk Minimization." 2011, Presented at KSS International Conference on Statistics and Probability, Busan, KR|KOR
  • "Another Look at Linear Programming for Feature Selection via Methods of Regularization." 2007, Presented at Department of Statistics, Korea University, Seoul,
  • "Another Look at Linear Programming for Feature Selection via Methods of Regularization." 2007, Presented at Department of Statistics, Carnegie Mellon University, Pittsburgh,
  • "Linear Programming for Feature Selection via Methods of Regularization." 2008, Presented at International Conference on Machine Learning and Data Mining, Beijing, CN|CHN
  • "Linear Programming for Feature Selection via Methods of Regularization." 2008, Presented at Statistical Research Center for Complex Systems, Seoul National University, Seoul, KR|KOR
  • "Linear Programming for Feature Selection via Methods of Regularization." 2008, Presented at Department of Mathematical Information Science, Tokyo University of Science, Tokyo, JP|JPN
  • "Functional Component Pursuit." 2009, Presented at ICSA Applied Statistics Symposium, San Francisco,
  • "A Bahadur Type Representation of the Linear Support Vector Machine and its Relative Efficiency." 2009, Presented at Machine Learning Summer School (Theory and Practice of Computational Learning), University of Chicago, Chicago,
  • "Functional Component Pursuit." 2009, Presented at The first Institute of Mathematical Statistics - Asia Pacific Rim Meeting, Seoul, KR|KOR
  • "Functional Component Pursuit." 2009, Presented at Department of Statistics, University of Seoul, Seoul, KR|KOR
  • "Support Vector Machines for Classification: A Statistical Portrait." 2011, Presented at Ulsan National Institute of Science and Technology, Ulsan, KR|KOR
  • "A Study of Relative Efficiency and Robustness of Classification Methods." 2011, Presented at Department of Statistics, Yonsei University, Seoul, KR|KOR
  • "A Regularization Approach to Screening and Selection of Biomarkers." 2008, Presented at ENAR, Arlington,
  • "Error Bars?: Discussion of "Error Bars in Experimental Biology" by Cumming et al.(2007)." 2013, Presented at Molecular Genetics 7802 (Research Seminar: Cell Biology), Columbus,
  • "A Statistical View of Ranking: Midway between Classification and Regression." 2014, Presented at Conference on Nonparametric Statistics for Big Data and Celebration to Honor Grace Wahba, Madison,

Papers in Proceedings

2012

  • Lewis, J. R., MacEachern, S. N., and Lee, Y. "Robust inference via the blended paradigm." Alexandria, (12 2012). 1773 - 1786.

2003

  • Lee, Y. and Lee, C.K. "Classification of multiple cancer types by multicategory support vector machines using gene expression data." JOURNAL: "BIOINFORMATICS." in NIPS Workshop on Machine Learning Techniques for Bioinformatics. (6 2003). 1132 - 1139.

2001

  • Lee, Y., Lin, Y., and Wahba, G. "Multicategory support vector machines." in 33rd Symposium on the Interface. Fairfax, (6 2001). 498 - 512.