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math.NA2026
Synchronous and Asynchronous Parallelism Approaches for Generalized Canonical Polyadic Tensor Decomposition with GenTen
Jeremy M. Myers, Eric T. Phipps
The Canonical Polyadic (CP) tensor decomposition is a well-known method for interpretable analysis of high-dimensional data. Recently, the Generalized CP method (GCP) was introduce…
math.NA2022
Tensor Decompositions for Count Data that Leverage Stochastic and Deterministic Optimization
Jeremy M. Myers, Daniel M. Dunlavy
There is growing interest to extend low-rank matrix decompositions to multi-way arrays, or tensors. One fundamental low-rank tensor decomposition is the canonical polyadic decompos…
math.NA2020
Parameter Sensitivity Analysis of the SparTen High Performance Sparse Tensor Decomposition Software: Extended Analysis
Jeremy M. Myers, Daniel M. Dunlavy, Keita Teranishi +1
Tensor decomposition models play an increasingly important role in modern data science applications. One problem of particular interest is fitting a low-rank Canonical Polyadic (CP…