On the Complexity of the Weighted Fused Lasso

被引:8
|
作者
Bento, Jose [1 ]
Furmaniak, Ralph [2 ]
Ray, Surjyendu [1 ]
机构
[1] Boston Coll, Chestnut Hill, MA 02467 USA
[2] Quant, Chestnut Hill, MA USA
关键词
Filter; lasso; projection; proximal operator; sum of absolute differences; total variation; weights; ALGORITHMS;
D O I
10.1109/LSP.2018.2867800
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The solution path of the one-dimensional fused lasso for an n-dimensional input is piecewise linear with at most O(n) segments. However, existing proofs of this bound do not hold for the weighted fused lasso. At the same time, results for the generalized lasso, of which the weighted fused lasso is a special case, allow more than Omega(3(n)) segments. In this letter, we prove that the number of segments in the solution path of the weighted fused lasso is O(n(2)), and that, for some instances, it is Omega(n(2)). We also give a new, very simple, proof of the O(n) bound for the fused lasso.
引用
收藏
页码:1595 / 1599
页数:5
相关论文
共 50 条
  • [11] Weighted Lasso with Data Integration
    Bergersen, Linn Cecilie
    Glad, Ingrid K.
    Lyng, Heidi
    [J]. STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY, 2011, 10 (01)
  • [12] Variance estimation in graphs with the fused lasso
    Padilla, Oscar Hernan Madrid
    [J]. JOURNAL OF MACHINE LEARNING RESEARCH, 2024, 25 : 1 - 45
  • [13] Compact Broad Learning System Based on Fused Lasso and Smooth Lasso
    Chu, Fei
    Liang, Tao
    Chen, C. L. Philip
    Wang, Xuesong
    Ma, Xiaoping
    [J]. IEEE TRANSACTIONS ON CYBERNETICS, 2024, 54 (01) : 435 - 448
  • [14] Fused Lasso approach in portfolio selection
    Corsaro, Stefania
    De Simone, Valentina
    Marino, Zelda
    [J]. ANNALS OF OPERATIONS RESEARCH, 2021, 299 (1-2) : 47 - 59
  • [15] Sparsity and smoothness via the fused lasso
    Tibshirani, R
    Saunders, M
    Rosset, S
    Zhu, J
    Knight, K
    [J]. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 2005, 67 : 91 - 108
  • [16] Bayesian Fused Lasso Modeling for Binary Data
    Kakikawa, Yuko
    Kawano, Shuichi
    [J]. arXiv, 2023,
  • [17] Fused Lasso模型的特征选择
    于娜
    [J]. 科技资讯, 2020, 18 (35) : 32 - 34
  • [18] On the robustness of the generalized fused lasso to prior specifications
    Viallon, Vivian
    Lambert-Lacroix, Sophie
    Hoefling, Hoelger
    Picard, Franck
    [J]. STATISTICS AND COMPUTING, 2016, 26 (1-2) : 285 - 301
  • [19] On the robustness of the generalized fused lasso to prior specifications
    Vivian Viallon
    Sophie Lambert-Lacroix
    Hölger Hoefling
    Franck Picard
    [J]. Statistics and Computing, 2016, 26 : 285 - 301
  • [20] Fused graphical lasso for brain networks with symmetries
    Ranciati, Saverio
    Roverato, Alberto
    Luati, Alessandra
    [J]. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 2021, 70 (05) : 1299 - 1322