Sparse Learning with Stochastic Composite Optimization
In this paper, we study Stochastic Composite Optimization (SCO) for sparse learning that aims to learn a sparse solution from a composite function. Most of the recent SCO algorithms have already reached the optimal expected convergence rate O(1/λT), but they often fail to deliver sparse solutions at...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 39(2017), 6 vom: 01. Juni, Seite 1223-1236
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| 1. Verfasser: |
Zhang, Weizhong
(VerfasserIn) |
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| Weitere Verfasser: |
Zhang, Lijun,
Jin, Zhongming,
Jin, Rong,
Cai, Deng,
Li, Xuelong,
Liang, Ronghua,
He, Xiaofei |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2017
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
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