Follow the Approximate Sparse Leader for No-Regret Online Sparse Linear Approximation
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DOI: 10.1109/lsp.2025.3542965
Abstract: We consider the problem of online sparse linear approximation, where a learner sequentially predicts the best sparse linear approximations of an as yet unobserved sequence of measurements in terms of a few columns of a… read more here.
Keywords: follow approximate; sparse linear; sparse; approximate sparse ... See more keywords
Approximate Sparse Multinomial Logistic Regression for Classification
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2019.2904062
Abstract: We propose a new learning rule for sparse multinomial logistic regression (SMLR). The new rule is the generalization of the one proposed in the pioneering work by Krishnapuram et al. In our proposed method, the… read more here.
Keywords: logistic regression; approximate sparse; multinomial logistic; classification ... See more keywords