Nicholas Ruozzi is an Assistant Professor of Computer Science and a member of UTD's Center for Machine Learning. His research interests include:

  • Combinatorial Optimization
  • Large-Scale Graphical Models
  • Approximate Inference and Learning
  • Belief Propagation Style Message-Passing Algorithms
  • Machine Learning

Works in Treasures @ UT Dallas are made available exclusively for educational purposes such as research or instruction. Literary rights, including copyright for published works held by the creator(s) or their heirs, or other third parties may apply. All rights are reserved unless otherwise indicated by the copyright owner(s).

Recent Submissions

  • Sparse Approximate Conic Hulls 

    Van Buskirk, Gregory; Raichel, Benjamin; Ruozzi, Nicholas
    We consider the problem of computing a restricted nonnegative matrix factorization (NMF) of an m × n matrix X. Specifically, we seek a factorization X ≈ BC, where the k columns of B are a subset of those from X and C ∈ ...