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Research Interests   (See full list of publications)
  • My main area of interest is machine learning and statistics with a focus on topics listed below.
  • Hierarchical Bayesian Models: Bayesian regression, latent Gaussian models, topic models, and sparse graphical models.
  • Developing accurate, efficient, and scalable algorithms for inference, parameter learning, and model selection.
  • Approximation techniques based on variational methods, MCMC, and search algorithms.
Research Experience
  • I was Vice President (Social) for CSGSA in 2007-08.
  • I (along with Lucas and Uwe) initiated a casual lecture series called UDLS.
  • I also started a series of refresher courses to help new graduate students with the courses in CS.