• Bayes Optimal Feature Selection for Supervised Learning 

      Saneem Ahmed, C G (2018-02-18)
      The problem of feature selection is critical in several areas of machine learning and data analysis such as, for example, cancer classification using gene expression data, text categorization, etc. In this work, we consider ...
    • Provable Methods for Non-negative Matrix Factorization 

      Pani, Jagdeep (2017-10-31)
      Nonnegative matrix factorization (NMF) is an important data-analysis problem which concerns factoring a given d n matrix A with nonnegative entries into matrices B and C where B and C are d k and k n with nonnegative ...