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Yoonkyung Lee Talks

2018

  1. Supervised Dimensionality Reduction for Exponential Family Data
    - Joint Statistical Meetings, Vancouver, Canada, July 28 - August 2, 2018.
    - The Conference on Statistical Learning and Data Science, Columbia University, New York, June 4-6, 2018.

  2. Dimensionality Reduction for Exponential Family Data
    Computational Strategies for Large-Scale Statistical Data Analysis Workshop, International Centre for Mathematical Sciences, Edinburgh, UK, July 2-6, 2018.

  3. Cross Validation for Penalized Quantile Regression with a Case-Weight Adjusted Solution Path
    The 2nd International Conference on Econometrics and Statistics, City University of Hong Kong, Hong Kong, June 19-21, 2018.

  4. The Geometry of Nonlinear Embeddings for Kernel Principal Component Analysis and Discriminant Analysis
    TGDA@OSU TRIPODS Center Summer School, Mathematical Biosciences Institute, Columbus, OH, May 14-18, 2018.

2017

  1. A Characterization of Latent Factors for Binary Data with Application to a Study of the Comorbidity in ICU Patients
    The Spring Conference of the Korean Statistical Society, Seoul, Korea, May 26-27, 2017.

  2. Generalized Principal Component Analysis: Dimensionality Reduction through the Projection of Natural Parameters
    - Data Science Research Group, School of Mathematical Sciences, Rochester Institute of Technology, NY, November 10, 2017.
    - Department of Statistics, Purdue University, West Lafayette, IN, October 13, 2017.
    - Department of Statistics, Ewha Womans University, Seoul, Korea, June 12, 2017.
    - ICSA Applied Symposium, Chicago, IL, June 25-28, 2017.

2016

  1. Generalized Principal Component Analysis: Dimensionality Reduction through the Projection of Natural Parameters
    - The fourth IMS Asia Pacific Rim Meeting, The Chinese University of Hong Kong, Hong Kong, June 27-30, 2016.
    - International Indian Statistical Association Conference, Oregon State University, Corvallis, OR, August 18-21, 2016.
    - The 9th International Conference of the ERCIM WG on Computational and Methodological Statistics, University of Seville, Spain, December 9-11, 2016.

  2. A Statistical View of Ranking: Midway between Classification and Regression
    Department of Statistics, The Ohio State University, September 8, 2016.

  3. The Remarkable Effectiveness of Principal Component Analysis
    Korean Engineering Graduate Student Association Meeting, The Ohio State University, November 10, 2016.

2015

  1. A Statistical View of Ranking: Midway between Classification and Regression
    Department of Computer Science and Engineering, The Ohio State University, December 3, 2015.

  2. Generalized Principal Component Analysis: Dimensionality Reduction through the Projection of Natural Parameters, (abstract)
    - Department of Statistics and Probability, Michigan State University, November 10, 2015.
    - Youngnam Mathematical Society Annual Meeting, Busan National University, Busan, Korea, June 2015.

  3. A Modern Look at Classical Multivariate Techniques
    Part I: Regression, Part II: Classification, Part III: Dimensionality Reduction
    The 13th School of Probability and Statistics, CIMAT, Guanajuato, Mexico, March 16-20, 2015.

2014

  1. A Statistical View of Ranking: Midway between Classification and Regression
    Conference on Nonparametric Statistics for Big Data and Celebration to Honor Grace Wahba, Madison, WI, June 4-6, 2014.
  2. Nonparametric Covariance Estimation with Shrinkage Toward Stationary Models
    The Joint Statistical Meetings, Boston, MA, August 2-7, 2014.

2013

  1. Statistical Consistency of Multipartite Ranking
    The Joint Statistical Meetings, Montreal, Canada, August 3-8, 2013.
  2. Error Bars?
    Discussion of "Error Bars in Experimental Biology", Cumming et al., Journal of Cell Biology (2007)
    Molecular Genetics 7802, Research Seminar: Cell Biology,
    Department of Molecular Genetics, The Ohio State University, December 2, 2013.

2012

  1. Two Tales of Variable Selection for High Dimensional Regression: Screening and Model Building
    The second IMS-APRM (Institute of Mathematical Statistics Asia Pacific Rim Meeting), Tsukuba, Japan, July 2-4, 2012.
  2. A Comparison of Classification Methods for Robustness
    The Joint Statistical Meetings, San Diego, CA, August 1, 2012.

2011

  1. Statistical Analysis of Bipartite Ranking by Convex Risk Minimization
    KSS International Conference on Statistics and Probability, Busan, Korea, July 2011.
  2. A Study of Relative Efficiency and Robustness of Classification Methods
    - Department of Statistics, Seoul National University, Seoul, Korea, April 28, 2011.
    - Department of Applied Statistics, Yonsei University, Seoul, Korea, May 20, 2011.
    - Department of Statistics, University of Seoul, Seoul, Korea, June 3, 2011.
  3. Support Vector Machines for Classification: A Statistical Portrait
    - The Spring Conference of Korean Statistical Society, KAIST, Daejeon, Korea, May 27-28, 2011.
    - Ulsan National Institute of Science and Technology, Ulsan, Korea, June 8, 2011.
    - Department of Statistics, Duksung Women's University, Seoul, Korea, June 13, 2011.
    - Department of Informational Statistics, Hoseo University, Asan, Korea, June 20, 2011.

2010

  1. Part I: Does Modeling Lead to More Accurate Classification?
    Part II: Statistical Analysis of Bipartite and Multipartite Ranking by Convex Risk Minimization
    Summer School on Statistical Pattern Recognition, CIMAT (Center of Research in Mathematics), Guanajuato, Mexico, August 26-27, 2010.
  2. Does Modeling Lead to More Accurate Classification?
    ICSA Applied Statistics Symposium, Indianapolis, IN, June 2010.
  3. (Poster) Statistical Analysis of Bipartite and Multipartite Ranking by Convex Risk Minimization
    Statistical Science - Making A Difference, 50th Anniversary Conference of the Department of Statistics, Madison, WI, June 2010.
  4. Comparison of the Efficiency of Classification Methods
    - Department of Statistics, Indiana University, Bloomington, IN, March 22, 2010.
    - Department of Food and Resource Economics, University of Delaware, Newark, DE, March 25, 2010.
    - Date Mining and Statistical Learning Discussion Group, Department of Statistics, Ohio State University, April 2010.

2009

  1. Functional Component Pursuit
    - ICSA Applied Statistics Symposium, San Francisco, June 21 - 24, 2009.
    - The first Institute of Mathematical Statistics - Asia Pacific Rim Meeting, Seoul, Korea, June 28 - July 1, 2009.
    - Department of Statistics, University of Seoul, Korea, July 2009.
  2. A Bahadur Type Representation of the Linear Support Vector Machine and its Relative Efficiency,
    Machine Learning Summer School on Theory and Practice of Computational Learning,
    University of Chicago, Chicago, June 1 - 11, 2009.

2008

  1. A Tutorial on Kernel Methods in a Regularization Framework,
    The Fall Conference of Korean Statistical Society, Chung-Ang University, Seoul, Korea, October 31 - November 1, 2008.
    A short news item on this event appeared in IMS bulletin, Volume 38, Issue 1, 2009.
  2. Linear Programming for Feature Selection via Methods of Regularization,
    - Department of Mathematical Information Science, Tokyo University of Science, Tokyo, Japan, July 2008.
    - Statistical Research Center for Complex Systems, Seoul National University, Seoul, Korea, July 2008.
    - International Conference on Machine Learning and Data Mining, Beijing, China, June 2008.
  3. A Regularization Approach to Screening and Selection of Biomarkers,
    - Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, December 2008.
    - The First International Symposium on Biopharmaceutical Statistics, Shanghai, China, July 2008.
    - ENAR, Arlington, VA, March 2008.
    - Division of Biostatistics, Washington University in St. Louis, MO, November 2007.

2007

  1. Kernel Methods in a Regularization Framework for Nonparametric Model Building,
    Cleveland Chapter of the ASA Fall 2007 Workshop, Cleveland, OH, October 29, 2007.
  2. Another Look at Linear Programming for Feature Selection via Methods of Regularization,
    - Statistics-Econometrics Seminar, Columbia University, New York City, NY, November 2007.
    - Department of Statistics, Carnegie Mellon University, Pittsburgh, PA, September 2007.
    - Department of Statistics, Korea University, Seoul, Korea, August 2007.
  3. A Bahadur Representation of the Linear Support Vector Machine,
    - Date Mining and Statistical Learning Discussion Group, Department of Statistics, Ohio State University, October 2008.
    - The 7th World Congress in Probability and Statistics, Singapore, July 2008.
    - Department of Mathematics, Washington University in St. Louis, MO, November 2007.
    - Department of Statistics, University of Georgia, Athens, GA, March 2007.
  4. A short course on Kernel Methods in a Regularization Framework,
    Winter School (Jan 22-26) at CIMAT, Guanajuato, Mexico.

2006

  1. A Tutorial on Support Vector Machines
    Quantitative Psychology Area Brownbag Series, Department of Psychology, Ohio State University, October 2006.
  2. Statistical learning in regularization framework (Stat 801 talk)
    Department of Statistics, Ohio State University, August 2006.
  3. The Solution Path of Multicategory Support Vector Machines
    Joint Summer Research Conferences: Machine Learning, Statistics, and Discovery, Snowbird, Utah, June 2006.

2005

  1. Structured statistical learning with Support Vector Machine for feature selection and prediction
    - Graybill Conference, Fort Collins, CO, June 2005.
    - WNAR, Fairbanks, AK, June 2005.
    - The Joint Statistical Meetings, Minneapolis, MN, August 2005.
  2. A Sparse Solution Approach to Gene Selection for Cancer Diagnosis Using Microarray Data
    CCF/OSU/CWRU Joint Biostatistics Symposium, Cleveland Clinic Foundation, May 2005.

2004

  1. Structured Multicategory Support Vector Machine with ANOVA decomposition (ps)
    - The Seventh North American New Researchers Conference, York University, Toronto, Canada, August 2004.
    - The Joint Statistical Meetings, Toronto Canada, August 2004.

2003

  1. Multicategory Support Vector Machines: a population view of different approaches (ps)
    Discussion of the Wald lecture III (Grace Wahba): Nonstandard Multicategory Support Vector Machine (ps)
    The Joint Statistical Meetings, San Francisco CA, August 2003.
  2. Multicategory Support Vector Machines: Theory and its Applications (ps)
    - Statistical Research Center for Complex Systems, Seoul National University, Korea, August 2003.
    - Department of Statistics, University of Tennessee, Knoxville TN, April 2003.
  3. (Poster) Classification of Satellite Radiance Data by Multicategory Support Vector Machines (ps)
    Third Conference on Artificial Intelligence Applications to the Environmental Science
    American Meteorological Society Meeting, Long Beach, CA, February 2003. Won the best student poster award.
  4. Classification of Multiple Cancer Types by Multicategory Support Vector Machines Using Gene Expression Profiles (ps)
    - Summer Research Conference, Jekyll Island, GA, June, 2003.
    - Division of Pediatric Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati OH, December 2002.

Other Meetings

  1. Conference on Statistical Learning and Data Mining, Ann Arbor, MI, June 5-7, 2012.
  2. The Second IMS-APRM (Institute of Mathematical Statistics Asia Pacific Rim Meeting), Tsukuba, Japan, July 2-4, 2012.
  3. Conference on Nonparametric Statistics and Statistical Learning, Columbus, OH, May 19 - 22, 2010.
  4. SIAM Conference on Data Mining, Columbus, OH, April 29 - May 1, 2010.
  5. SAMSI Opening Workshop for Program on High Dimensional Inference and Random Matrices, RTP, NC, September, 2006.
  6. The Joint Statistical Meetings, Seattle, WA, August 6-10, 2006.
  7. Joint Summer Research Conferences 2003, Snowbird, Utah, June 22-26, 2003.
  8. PAESMEM/ Stanford School of Engineering Workshop on Mentoring in Engineering, Stanford University, 21-22 June 2004.

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