References in zbMATH (referenced in 653 articles )

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  1. Chen, Liang; Li, Xudong; Sun, Defeng; Toh, Kim-Chuan: On the equivalence of inexact proximal ALM and ADMM for a class of convex composite programming (2021)
  2. Dixit, A.; Sahu, D. R.; Gautam, P.; Som, T.; Yao, J. C.: An accelerated forward-backward splitting algorithm for solving inclusion problems with applications to regression and link prediction problems (2021)
  3. Elvira, Clément; Gribonval, Rémi; Soussen, Charles; Herzet, Cédric: When does OMP achieve exact recovery with continuous dictionaries? (2021)
  4. Genzel, Martin; Kutyniok, Gitta; März, Maximilian: (\ell^1)-analysis minimization and generalized (co-)sparsity: when does recovery succeed? (2021)
  5. Bastani, Hamsa; Bayati, Mohsen: Online decision making with high-dimensional covariates (2020)
  6. Benedetto, John J.; Li, Weilin: Super-resolution by means of Beurling minimal extrapolation (2020)
  7. Bettiol, Enrico; Létocart, Lucas; Rinaldi, Francesco; Traversi, Emiliano: A conjugate direction based simplicial decomposition framework for solving a specific class of dense convex quadratic programs (2020)
  8. Carlsson, Marcus; Gerosa, Daniele; Olsson, Carl: An unbiased approach to compressed sensing (2020)
  9. Casazza, Peter G.; Chen, Xuemei; Lynch, Richard G.: Preserving injectivity under subgaussian mappings and its application to compressed sensing (2020)
  10. Chen, Yuansi; Taeb, Armeen; Bühlmann, Peter: A look at robustness and stability of (\ell_1)-versus (\ell_0)-regularization: discussion of papers by Bertsimas et al. and Hastie et al. (2020)
  11. Ciuperca, Gabriela; Maciak, Matúš: Changepoint detection by the quantile Lasso method (2020)
  12. Condat, Laurent: Atomic norm minimization for decomposition into complex exponentials and optimal transport in Fourier domain (2020)
  13. Cornelis, Jeffrey; Vanroose, W.: Projected Newton method for noise constrained (\ell_p) regularization (2020)
  14. Cui, Kaiyan; Song, Zhanjie; Han, Ningning: Fast thresholding algorithms with feedbacks and partially known support for compressed sensing (2020)
  15. Denoyelle, Quentin; Duval, Vincent; Peyré, Gabriel; Soubies, Emmanuel: The sliding Frank-Wolfe algorithm and its application to super-resolution microscopy (2020)
  16. Duarte, Roberto; Repetti, Audrey; Gómez, Pedro A.; Davies, Mike; Wiaux, Yves: Greedy approximate projection for magnetic resonance fingerprinting with partial volumes (2020)
  17. Estrin, Ron; Friedlander, Michael P.: A perturbation view of level-set methods for convex optimization (2020)
  18. Fageot, Julien; Simeoni, Matthieu: TV-based reconstruction of periodic functions (2020)
  19. Feng, Sheng-Ya; Chang, Der-Chen: Existence, uniqueness, and approximation solutions to linearized Chandrasekhar equation with sharp bounds (2020)
  20. Feng, Xue; Yan, Shi; Wu, Chunlin: The (\ell_2,q) regularized group sparse optimization: lower bound theory, recovery bound and algorithms (2020)

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