Search Results for author: Ardavan Afshar

Found 3 papers, 1 papers with code

SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors

no code implementations8 Oct 2020 Ardavan Afshar, Kejing Yin, Sherry Yan, Cheng Qian, Joyce C. Ho, Haesun Park, Jimeng Sun

In particular, we define the N-th order tensor Wasserstein loss for the widely used tensor CP factorization and derive the optimization algorithm that minimizes it.

Computational Efficiency

COPA: Constrained PARAFAC2 for Sparse & Large Datasets

1 code implementation12 Mar 2018 Ardavan Afshar, Ioakeim Perros, Evangelos E. Papalexakis, Elizabeth Searles, Joyce Ho, Jimeng Sun

To tackle these challenges, we propose a {\it CO}nstrained {\it PA}RAFAC2 (COPA) method, which carefully incorporates optimization constraints such as temporal smoothness, sparsity, and non-negativity in the resulting factors.

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