References in zbMATH (referenced in 638 articles )

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  1. Bastani, Hamsa; Bayati, Mohsen: Online decision making with high-dimensional covariates (2020)
  2. Benedetto, John J.; Li, Weilin: Super-resolution by means of Beurling minimal extrapolation (2020)
  3. 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)
  4. Carlsson, Marcus; Gerosa, Daniele; Olsson, Carl: An unbiased approach to compressed sensing (2020)
  5. Casazza, Peter G.; Chen, Xuemei; Lynch, Richard G.: Preserving injectivity under subgaussian mappings and its application to compressed sensing (2020)
  6. Ciuperca, Gabriela; Maciak, Matúš: Changepoint detection by the quantile Lasso method (2020)
  7. Condat, Laurent: Atomic norm minimization for decomposition into complex exponentials and optimal transport in Fourier domain (2020)
  8. Cornelis, Jeffrey; Vanroose, W.: Projected Newton method for noise constrained (\ell_p) regularization (2020)
  9. Denoyelle, Quentin; Duval, Vincent; Peyré, Gabriel; Soubies, Emmanuel: The sliding Frank-Wolfe algorithm and its application to super-resolution microscopy (2020)
  10. Duarte, Roberto; Repetti, Audrey; Gómez, Pedro A.; Davies, Mike; Wiaux, Yves: Greedy approximate projection for magnetic resonance fingerprinting with partial volumes (2020)
  11. Fageot, Julien; Simeoni, Matthieu: TV-based reconstruction of periodic functions (2020)
  12. Feng, Sheng-Ya; Chang, Der-Chen: Existence, uniqueness, and approximation solutions to linearized Chandrasekhar equation with sharp bounds (2020)
  13. Feng, Xue; Yan, Shi; Wu, Chunlin: The (\ell_2,q) regularized group sparse optimization: lower bound theory, recovery bound and algorithms (2020)
  14. Fung, Samy Wu; Tyrväinen, Sanna; Ruthotto, Lars; Haber, Eldad: ADMM-softmax: an ADMM approach for multinomial logistic regression (2020)
  15. Guo, Shu-Mei; Huang, Chen-Kai; Huang, Tzu-Jui; Tsai, Jason Sheng-Hong; Shieh, Leang-San; Canelon, Jose I.: Effective zero-norm minimization algorithms for noisy compressed sensing (2020)
  16. Haddou, M.; Migot, T.: A smoothing method for sparse optimization over convex sets (2020)
  17. Heuer, Janin; Matter, Frederic; Pfetsch, Marc E.; Theobald, Thorsten: Block-sparse recovery of semidefinite systems and generalized null space conditions (2020)
  18. Jiang, Fan; Wu, Zhongming; Cai, Xingju: Generalized ADMM with optimal indefinite proximal term for linearly constrained convex optimization (2020)
  19. Lange, Jan-Hendrik; Pfetsch, Marc E.; Seib, Bianca M.; Tillmann, Andreas M.: Sparse recovery with integrality constraints (2020)
  20. Li, Song; Lin, Junhong; Liu, Dekai; Sun, Wenchang: Iterative hard thresholding for compressed data separation (2020)

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