Recent Submissions

  • Second Order Machine Learning 

    Mahoney, Michael (Georgia Institute of Technology, 2017-09-22)
    A major challenge for large-scale machine learning, and one that will only increase in importance as we develop models that are more and more domain-informed, involves going beyond high-variance first-order optimization ...
  • Assembly of Big Genomic Data 

    Medvedev, Paul (Georgia Institute of Technology, 2017-09-15)
    As genome sequencing technologies continue to facilitate the generation of large datasets, developing scalable algorithms has come to the forefront as a crucial step in analyzing these datasets. In this talk, I will ...