References in zbMATH (referenced in 354 articles )

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  1. Chen, Xiaojun; Guo, Lei; Lu, Zhaosong; Ye, Jane J.: An augmented Lagrangian method for non-Lipschitz nonconvex programming (2017)
  2. Gilbert, Jean Charles: On the solution uniqueness characterization in the L1 norm and polyhedral gauge recovery (2017)
  3. Beck, Amir; Hallak, Nadav: On the minimization over sparse symmetric sets: projections, optimality conditions, and algorithms (2016)
  4. Bertsimas, Dimitris; King, Angela: OR forum: An algorithmic approach to linear regression (2016)
  5. Bojarovska, Irena; Flinth, Axel: Phase retrieval from Gabor measurements (2016)
  6. Cai, Jia; Xiang, Dao-Hong: Statistical consistency of coefficient-based conditional quantile regression (2016)
  7. Chui, Charles K.; Mhaskar, H.N.; van der Walt, Maria D.: Data-driven atomic decomposition via frequency extraction of intrinsic mode functions (2016)
  8. Demanet, Laurent; Zhang, Xiangxiong: Eventual linear convergence of the Douglas-Rachford iteration for basis pursuit (2016)
  9. Dobriban, Edgar; Fan, Jianqing: Regularity properties for sparse regression (2016)
  10. Fornasier, Massimo; Peter, Steffen; Rauhut, Holger; Worm, Stephan: Conjugate gradient acceleration of iteratively re-weighted least squares methods (2016)
  11. Griesmaier, Roland; Sylvester, John: Far field splitting by iteratively reweighted $\ell^1$ minimization (2016)
  12. Hager, William W.; Phan, Dzung T.; Zhu, Jiajie: Projection algorithms for nonconvex minimization with application to sparse principal component analysis (2016)
  13. Hager, William W.; Zhang, Hongchao: Projection onto a polyhedron that exploits sparsity (2016)
  14. He, Bingsheng; Ma, Feng; Yuan, Xiaoming: Convergence study on the symmetric version of ADMM with larger step sizes (2016)
  15. Huang, Yakui; Liu, Hongwei: Smoothing projected Barzilai-Borwein method for constrained non-Lipschitz optimization (2016)
  16. Hua, Xiaoqin; Yamashita, Nobuo: Block coordinate proximal gradient methods with variable Bregman functions for nonsmooth separable optimization (2016)
  17. Latouche, Pierre; Mattei, Pierre-Alexandre; Bouveyron, Charles; Chiquet, Julien: Combining a relaxed EM algorithm with Occam’s razor for Bayesian variable selection in high-dimensional regression (2016)
  18. Lewis, A.S.; Wright, S.J.: A proximal method for composite minimization (2016)
  19. Maggioni, Mauro; Minsker, Stanislav; Strawn, Nate: Multiscale dictionary learning: non-asymptotic bounds and robustness (2016)
  20. Naidu, R.Ramu; Jampana, Phanindra; Challa, Sastry S.: Multivariable polynomials for the construction of binary sensing matrices (2016)

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