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Learning Fair Canonical Polyadical Decompositions using a Kernel Independence Criterion
This work proposes to learn fair low-rank tensor decompositions by regularizing the Canonical Polyadic Decomposition factorization with the kernel Hilbert-Schmidt independence criterion (KHSIC).
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