Talks & Conference Presentations

  • Uniformly-optimal Stochastic Dual Averaging Methods with Double Projections, 10/2012
    Informs Annual Meeting, AZ.
  • Optimal Budget Allocation in Crowdsourcing, 10/2012
    Microsoft Research Redmond, WA.
  • Predicting Consensus Ranking in Crowdsourced Setting, 10/2012
    Microsoft Research Redmond, WA.
  • Structured Sparse Canonical Correlation Analysis, 04/2012
    International Conference on Artificial Intelligence and Statistics (AISTATS).
  • Optimization for General Structured Sparse Learning, 03/2012
    Microsoft Research Redmond, WA.
  • Sparse Learning for Text Mining, 12/2011
    Microsoft Research Aisa, Beijing, China.
  • Graph-Valued Regression, 08/2011
    Rutgers Business School, The State University of NJ, NJ.
  • Graph-Valued Regression, 08/2011
    NEC Lab American, NJ.
  • Proximal Gradient Descent for Structured Sparse Learning, 08/2010
    Department of Computer Science, Princeton University, NJ.
  • Multivariate Dyadic Regression Trees for Sparse Learning Problems, 08/2010
    Joint Statistical Meeting 2010, Vancouver, Canada.
  • Proximal Gradient Descent for Structured Sparse Learning, 07/2010
    Department of Computer Science, University of British Columbia, Vancouver, Canada.
  • Proximal Gradient Descent for Structured Sparse Learning, 07/2010
    IBM Thomas J. Watson Research Center, NY.
  • Accelerated Gradient Method for Multi-Task Sparse Learning Problem 12/2009
    • International Conference on Data Mining (ICDM).


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