References in zbMATH (referenced in 12 articles )

Showing results 1 to 12 of 12.
Sorted by year (citations)

  1. Becker, Stephen; Fadili, Jalal; Ochs, Peter: On quasi-Newton forward-backward splitting: proximal calculus and convergence (2019)
  2. Wang, Xiaoyu; Wang, Xiao; Yuan, Ya-Xiang: Stochastic proximal quasi-Newton methods for non-convex composite optimization (2019)
  3. Zhang, Yichi; Laber, Eric B.; Davidian, Marie; Tsiatis, Anastasios A.: Interpretable dynamic treatment regimes (2018)
  4. Ahookhosh, Masoud; Neumaier, Arnold: An optimal subgradient algorithm for large-scale bound-constrained convex optimization (2017)
  5. Karimi, Sahar; Vavasis, Stephen: IMRO: A proximal quasi-Newton method for solving (\ell_1)-regularized least squares problems (2017)
  6. Myasnikov, D. V.; Siemenikhin, K. V.: Control of (M|M|1|N) queue parameters under constraints (2016)
  7. Zhang, Yichi; Staicu, Ana-Maria; Maity, Arnab: Testing for additivity in non-parametric regression (2016)
  8. Lee, Dong Hwan; Joo, Young Hoon; Tak, Myung Hwan: A convex optimization approach to adaptive stabilization of discrete-time LTI systems with polytopic uncertainties (2015)
  9. Chi, Eric C.; Zhou, Hua; Lange, Kenneth: Distance majorization and its applications (2014)
  10. Slawski, Martin; Hein, Matthias: Non-negative least squares for high-dimensional linear models: consistency and sparse recovery without regularization (2013)
  11. Chi, Eric C.; Kolda, Tamara G.: On tensors, sparsity, and nonnegative factorizations (2012)
  12. Kim, Dongmin; Sra, Suvrit; Dhillon, Inderjit S.: Tackling box-constrained optimization via a new projected quasi-Newton approach (2010)