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08/31/2022
Active learning algorithm through the lens of rejection arguments
Active learning is a paradigm of machine learning which aims at reducing...
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02/22/2021
Nonparametric adaptive active learning under local smoothness condition
Active learning is typically used to label data, when the labeling proce...
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10/01/2020
Deep matrix factorizations
Constrained low-rank matrix approximations have been known for decades a...
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01/17/2020
K-NN active learning under local smoothness assumption
There is a large body of work on convergence rates either in passive or ...
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10/02/2019
Near-Convex Archetypal Analysis
Nonnegative matrix factorization (NMF) is a widely used linear dimension...
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02/08/2019