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cs.LG2020
Deep matrix factorizations
Pierre De Handschutter, Nicolas Gillis, Xavier Siebert
Constrained low-rank matrix approximations have been known for decades as powerful linear dimensionality reduction techniques to be able to extract the information contained in lar…
cs.LG2020
K-NN active learning under local smoothness assumption
Boris Ndjia Njike, Xavier Siebert
There is a large body of work on convergence rates either in passive or active learning. Here we first outline some of the main results that have been obtained, more specifically i…