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Activity Number:
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392
- Big Tensor Data Analysis
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Type:
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Invited
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Date/Time:
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Wednesday, August 5, 2020 : 1:00 PM to 2:50 PM
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Sponsor:
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Section on Statistical Learning and Data Science
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Abstract #309286
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Title:
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Co-Clustering Tensors Using Fusion Penalties and CP-Decompositions
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Author(s):
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Eric Chi*
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Companies:
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North Carolina State University
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Keywords:
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Tensor;
Candecomp/Parafac;
Co-clustering;
variable selection;
optimization;
low-rank
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Abstract:
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In the tensor co-clustering problem, we seek to organize subarrays along the modes of the tensors into groups with similar signal values. We introduce a new co-clustering estimator that is similar in spirit to a recently introduced convex formulation of the co-clustering problem but employs a CP-decomposition to expedite computation. We demonstrate that in practice our new estimator has comparable performance to existing co-clustering methods but is computationally more scalable.
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Authors who are presenting talks have a * after their name.
