References in zbMATH (referenced in 17 articles )

Showing results 1 to 17 of 17.
Sorted by year (citations)

  1. Geoffrey, Chinot; Guillaume, Lecué; Matthieu, Lerasle: Robust high dimensional learning for Lipschitz and convex losses (2020)
  2. Peng, Dingtao; Chen, Xiaojun: Computation of second-order directional stationary points for group sparse optimization (2020)
  3. Burdejová, Petra; Härdle, Wolfgang K.: Dynamic semi-parametric factor model for functional expectiles (2019)
  4. De Canditiis, Daniela; De Feis, Italia: Simultaneous nonparametric regression in RADWT dictionaries (2019)
  5. Kharoubi, Rachid; Oualkacha, Karim; Mkhadri, Abdallah: The cluster correlation-network support vector machine for high-dimensional binary classification (2019)
  6. Liu, Jianyu; Yu, Guan; Liu, Yufeng: Graph-based sparse linear discriminant analysis for high-dimensional classification (2019)
  7. Perry, Daniel J.; Kirby, Robert M.; Narayan, Akil; Whitaker, Ross T.: Allocation strategies for high fidelity models in the multifidelity regime (2019)
  8. Zhou, Shengbin; Zhou, Jingke; Zhang, Bo: High-dimensional generalized linear models incorporating graphical structure among predictors (2019)
  9. Fan, Zengyan; Lian, Heng: Quantile regression for additive coefficient models in high dimensions (2018)
  10. Koslovsky, M. D.; Swartz, M. D.; Leon-Novelo, L.; Chan, W.; Wilkinson, A. V.: Using the EM algorithm for Bayesian variable selection in logistic regression models with related covariates (2018)
  11. Wang, Yining; Singh, Aarti: Provably correct algorithms for matrix column subset selection with selectively sampled data (2018)
  12. Yang, Lei; Fang, Yixin; Wang, Junhui; Shao, Yongzhao: Variable selection for partially linear models via learning gradients (2017)
  13. Yau, Chun Yip; Hui, Tsz Shing: LARS-type algorithm for group Lasso (2017)
  14. Hashem, Hussein; Vinciotti, Veronica; Alhamzawi, Rahim; Yu, Keming: Quantile regression with group Lasso for classification (2016)
  15. Yang, Lei; Lv, Shaogao; Wang, Junhui: Model-free variable selection in reproducing kernel Hilbert space (2016)
  16. Mai, Qing; Zou, Hui: The fused Kolmogorov filter: a nonparametric model-free screening method (2015)
  17. Yang, Yi; Zou, Hui: A fast unified algorithm for solving group-lasso penalize learning problems (2015)