References in zbMATH (referenced in 698 articles )

Showing results 41 to 60 of 698.
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  1. Carlsson, Marcus; Gerosa, Daniele; Olsson, Carl: An unbiased approach to compressed sensing (2020)
  2. Casazza, Peter G.; Chen, Xuemei; Lynch, Richard G.: Preserving injectivity under subgaussian mappings and its application to compressed sensing (2020)
  3. 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)
  4. Ciuperca, Gabriela; Maciak, Matúš: Changepoint detection by the quantile Lasso method (2020)
  5. Condat, Laurent: Atomic norm minimization for decomposition into complex exponentials and optimal transport in Fourier domain (2020)
  6. Cornelis, Jeffrey; Vanroose, W.: Projected Newton method for noise constrained (\ell_p) regularization (2020)
  7. Cornelis, J.; Schenkels, N.; Vanroose, W.: Projected Newton method for noise constrained Tikhonov regularization (2020)
  8. Cui, Kaiyan; Song, Zhanjie; Han, Ningning: Fast thresholding algorithms with feedbacks and partially known support for compressed sensing (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. Estrin, Ron; Friedlander, Michael P.: A perturbation view of level-set methods for convex optimization (2020)
  12. Fageot, Julien; Simeoni, Matthieu: TV-based reconstruction of periodic functions (2020)
  13. Feng, Sheng-Ya; Chang, Der-Chen: Existence, uniqueness, and approximation solutions to linearized Chandrasekhar equation with sharp bounds (2020)
  14. Feng, Xue; Yan, Shi; Wu, Chunlin: The (\ell_2,q) regularized group sparse optimization: lower bound theory, recovery bound and algorithms (2020)
  15. Fung, Samy Wu; Tyrväinen, Sanna; Ruthotto, Lars; Haber, Eldad: ADMM-softmax: an ADMM approach for multinomial logistic regression (2020)
  16. 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)
  17. Haddou, M.; Migot, T.: A smoothing method for sparse optimization over convex sets (2020)
  18. Hastie, Trevor; Tibshirani, Robert; Tibshirani, Ryan: Best subset, forward stepwise or Lasso? Analysis and recommendations based on extensive comparisons (2020)
  19. Heuer, Janin; Matter, Frederic; Pfetsch, Marc E.; Theobald, Thorsten: Block-sparse recovery of semidefinite systems and generalized null space conditions (2020)
  20. Hong, Mingyi; Chang, Tsung-Hui; Wang, Xiangfeng; Razaviyayn, Meisam; Ma, Shiqian; Luo, Zhi-Quan: A block successive upper-bound minimization method of multipliers for linearly constrained convex optimization (2020)

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