SLEP

SLEP: Sparse Learning with Efficient Projections. Main Features: 1) First-Order Method. At each iteration, we only need to evaluate the function value and the gradient; and thus the algorithms can handle large-scale sparse data. 2) Optimal Convergence Rate. The convergence rate O(1/k2) is optimal for smooth convex optimization via the first-order black-box methods. 3) Efficient Projection. The projection problem (proximal operator) can be solved efficiently. 4) Pathwise Solutions. The SLEP package provides functions that efficiently compute the pathwise solutions corresponding to a series of regularization parameters by the “warm-start” technique.


References in zbMATH (referenced in 34 articles )

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  1. Li, Leijun; Hu, Qinghua; Wu, Xiangqian; Yu, Daren: Exploration of classification confidence in ensemble learning (2014) ioport
  2. Lin, Xiaodong; Pham, Minh; Ruszczyński, Andrzej: Alternating linearization for structured regularization problems (2014)
  3. Li, Xinxin; Mo, Lili; Yuan, Xiaoming; Zhang, Jianzhong: Linearized alternating direction method of multipliers for sparse group and fused LASSO models (2014)
  4. Paramanand, C.; Rajagopalan, A. N.: Shape from sharp and motion-blurred image pair (2014) ioport
  5. Zhang, Haibin; Wei, Juan; Li, Meixia; Zhou, Jie; Chao, Miantao: On proximal gradient method for the convex problems regularized with the group reproducing kernel norm (2014)
  6. Lu, Zhaosong; Zhang, Yong: Sparse approximation via penalty decomposition methods (2013)
  7. Qin, Zhiwei; Scheinberg, Katya; Goldfarb, Donald: Efficient block-coordinate descent algorithms for the group Lasso (2013)
  8. Yang, Junfeng; Yuan, Xiaoming: Linearized augmented Lagrangian and alternating direction methods for nuclear norm minimization (2013)
  9. Yang, Yang; Huang, Zi; Yang, Yi; Liu, Jiajun; Shen, Heng Tao; Luo, Jiebo: Local image tagging via graph regularized joint group sparsity (2013)
  10. Zhang, Haibin; Jiang, Jiaojiao; Luo, Zhi-Quan: On the linear convergence of a proximal gradient method for a class of nonsmooth convex minimization problems (2013)
  11. Herzog, Roland; Stadler, Georg; Wachsmuth, Gerd: Directional sparsity in optimal control of partial differential equations (2012)
  12. Sra, Suvrit: Fast projections onto mixed-norm balls with applications (2012)
  13. Zhang, Limei; Chen, Songcan; Qiao, Lishan: Graph optimization for dimensionality reduction with sparsity constraints (2012)
  14. Mazumder, Rahul; Hastie, Trevor; Tibshirani, Robert: Spectral regularization algorithms for learning large incomplete matrices (2010)