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Activity Number: 504
Type: Contributed
Date/Time: Wednesday, August 12, 2015 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistical Learning and Data Mining
Abstract #316444
Title: Graph-Guided Matrix Completion
Author(s): Eric Chi* and Arvind Rao and Christopher Harshaw and Ashok Veeraraghavan and Salman Asif and Richard Baraniuk
Companies: Rice University and MD Anderson Cancer Center and Rice University and Rice University and Rice University and Rice University
Keywords: Matrix Completion ; Graph Laplacian ; Prediction ; Regularization ; Drug-Protein Interaction ; Convex Optimization
Abstract:

We present a novel method for performing matrix completion with side information on row-by-row similarities and column-by-column similarities. Our approach generalizes recent proposals for matrix estimation with smoothness constraints with respect to row and column graphs. We present a novel estimation procedure based on solving a convex optimization problem. We present simulation results and an application to in silico drug-protein interaction prediction.

Authors who are presenting talks have a * after their name.

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