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LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport [article]

Yanbin Liu, Makoto Yamada, Yao-Hung Hubert Tsai, Tam Le, Ruslan Salakhutdinov, Yi Yang
2021 arXiv   pre-print
Then, we introduce the Least-Squares Mutual Information with Sinkhorn (LSMI-Sinkhorn) algorithm for efficient optimization.  ...  To address this problem, we propose the semi-supervised Squared-loss Mutual Information (SMI) estimation method using a small number of paired samples and the available unpaired ones.  ...  Then, we propose the Least-Squares Mutual Information with Sinkhorn (LSMI-Sinkhorn) algorithm to optimize the problem.  ... 
arXiv:1909.02373v3 fatcat:vnmm2w3ilvc3nkzetdxdq674bm