References in zbMATH (referenced in 429 articles )

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  1. Beck, Amir; Hallak, Nadav: Proximal mapping for symmetric penalty and sparsity (2018)
  2. Brugiapaglia, Simone; Nobile, Fabio; Micheletti, Stefano; Perotto, Simona: A theoretical study of compressed solving for advection-diffusion-reaction problems (2018)
  3. Cheng, Wanyou; Dai, Yu-Hong: Gradient-based method with active set strategy for $\ell _1$ optimization (2018)
  4. Colbourn, Charles J.; Horsley, Daniel; Syrotiuk, Violet R.: A hierarchical framework for recovery in compressive sensing (2018)
  5. Frikel, Jürgen; Haltmeier, Markus: Efficient regularization with wavelet sparsity constraints in photoacoustic tomography (2018)
  6. Lai, Chun-Kit; Li, Shidong; Mondo, Daniel: Spark-level sparsity and the $\ell_1$ tail minimization (2018)
  7. Li, Chong-Jun; Zhong, Yi-Jun: A pseudo-heuristic parameter selection rule for $l^1$-regularized minimization problems (2018)
  8. Li, Xudong; Sun, Defeng; Toh, Kim-Chuan: A highly efficient semismooth Newton augmented Lagrangian method for solving lasso problems (2018)
  9. Mousavi, Ali; Maleki, Arian; Baraniuk, Richard G.: Consistent parameter estimation for LASSO and approximate message passing (2018)
  10. Nguyen, Trong Phong; Pauwels, Edouard; Richard, Emile; Suter, Bruce W.: Extragradient method in optimization: convergence and complexity (2018)
  11. Sitharam, Meera; Tarifi, Mohamad; Wang, Menghan: Combinatorial rigidity of incidence systems and application to dictionary learning (2018)
  12. Yu, Yongchao; Peng, Jigen: The matrix splitting based proximal fixed-point algorithms for quadratically constrained $\ell_1$ minimization and Dantzig selector (2018)
  13. Adamo, Alessandro; Grossi, Giuliano; Lanzarotti, Raffaella; Lin, Jianyi: Sparse decomposition by iterating Lipschitzian-type mappings (2017)
  14. Ahn, Miju; Pang, Jong-Shi; Xin, Jack: Difference-of-convex learning: directional stationarity, optimality, and sparsity (2017)
  15. Alberti, Giovanni S.; Ammari, Habib: Disjoint sparsity for signal separation and applications to hybrid inverse problems in medical imaging (2017)
  16. Bouwmans, Thierry; Sobral, Andrews; Javed, Sajid; Jung, Soon Ki; Zahzah, El-Hadi: Decomposition into low-rank plus additive matrices for background/foreground separation: a review for a comparative evaluation with a large-scale dataset (2017)
  17. Boyer, Claire; De Castro, Yohann; Salmon, Joseph: Adapting to unknown noise level in sparse deconvolution (2017)
  18. Chen, Xiaojun; Guo, Lei; Lu, Zhaosong; Ye, Jane J.: An augmented Lagrangian method for non-Lipschitz nonconvex programming (2017)
  19. Comon, Pierre; Qi, Yang; Usevich, Konstantin: Identifiability of an X-rank decomposition of polynomial maps (2017)
  20. Denoyelle, Quentin; Duval, Vincent; Peyré, Gabriel: Support recovery for sparse super-resolution of positive measures (2017)

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