Data Mining and Statistical Learning

Spring 2013

All meetings will be held on Thursday between 1:00 pm - 2:30 pm in CH212.
Presentation and discussion schedule will be posted as we go along.

• January 10, 2013
  Organizational meeting
  


• January 17, 2013
  No meeting this week


• January 24, 2013
  Speaker: Andrew Landgraf
  Title: Spectral Regularization Algorithms for Learning Large Incomplete Matrices
  Rahul Mazumder, Trevor Hastie and Rob Tibshirani, JMLR (2010) 11 2287-2322
  


• January 31, 2013
  Follow-up discussions about matrix factorization and its connection to factor analysis and collaborative filtering
  
  For the students participating in DMSL group for the first time, see the papers presented in Fall 2012 for collaborative filtering.


• February 7, 2013
  Speaker: Liubo Li
  Title: The Extraordinary SVD
  Carla Martin and Mason Porter (2012)


• February 21, 2013
  Speaker: Jieyi Jiang
  Title: Probabilistic Principal Component Analysis
  Michael E. Tipping and Christopher M. Bishop, Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 61, No. 3 (1999), pp. 611-622
  


• February 28, 2013
  Speaker: Andrew Landgraf
  Title: A Generalization of Principal Component Analysis to the Exponential Family
  M. Collins, S. Dasgupta and R. E. Schapire, NIPS (2001)
  


• March 7, 2013
  Follow-up discussions about generalization of Principal Component Analysis and data analysis (Andrew Landgraf)


• March 21, 2013
  Speaker: Sungmin Kim
  Title: On Consistency and Sparsity for Principal Components Analysis in High Dimensions
  Iain M. Johnstone, and Arthur Yu Lu, JASA (2009)


• March 28, 2013
  Follow-up discussions of Sparse PCA paper by Johnstone and Lu (2009)
  Discussions by Nadler, Witten et al., Ramsay, and Rejoinder, JASA (2009)


• April 4, 2013
  Speaker: Vince Vu
  Title:Sparse Principal Component Analysis via Regularized Low Rank Matrix Approximation
  Haipeng Shen and Jianhua Z. Huang, Journal of Multivariate Analysis, 99, 1015-1034 (2008).


• April 11, 2013
  Speaker: Andrew Landgraf
  Title: Sparse logistic principal components analysis for binary data
  S. Lee, J. Huang, and J. Hu, Annals of Applied Statistics (2010).


• April 18, 2013 (Meeting begins at 1:30pm)
  Speaker: Andrew Landgraf
  Data analysis with sparse logistic PCA