A Sparse Stochastic Method With Optimal Convergence Rate for Optimizing Pseudo-Linear Performance Measures
Optimizing pseudo-linear performance measures has gained increasing interest in recent years. Compared with the existing works focusing on L2-norm, it is more challenging to design the model with L1-norm, especially, when data are of large scale. To address the issue, in this paper, we propose a spa...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8743458/ |