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
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Sparse Approximate Conic Hulls 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 ∈ ...