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Robust Barron-Loss Tucker Tensor Decomposition
  • Mahsa Mozaffari ,
  • Panos P. Markopoulos
Mahsa Mozaffari
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Panos P. Markopoulos
Rochester Institute of Technology

Corresponding Author:[email protected]

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In this work, we propose a new formulation for low-rank tensor approximation, with tunable outlier-robustness, and present a unified algorithmic solution framework. This formulation relies on a new generalized robust loss function (Barron loss), which encompasses several well-known loss-functions with variable outlier resistance. The robustness of the proposed framework is corroborated by the presented numerical studies on synthetic and real data.