Assistant Prof at UMass Amherst. Working on randomized algorithms for large scale linear algebra, machine learning, and data analysis.
Highlights
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cpmusco/bksvd
cpmusco/bksvd PublicFast randomized block Krylov method for the singular value decomposition
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recursive-nystrom
recursive-nystrom PublicRecursive importance sampling for Nyström kernel matrix approximation
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cpmusco/fast-pcr
cpmusco/fast-pcr PublicFast (stochastic) iterative methods for principal component regression
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graph-similarity-learning
graph-similarity-learning PublicAlgorithms for learning network structure from effective resistances and other random-walk-based similarities.
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