References in zbMATH (referenced in 1349 articles , 2 standard articles )

Showing results 21 to 40 of 1349.
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  1. Audet, Charles; Caporossi, Gilles; Jacquet, Stéphane: Binary, unrelaxable and hidden constraints in blackbox optimization (2020)
  2. Bachoc, François; Suvorikova, Alexandra; Ginsbourger, David; Loubes, Jean-Michel; Spokoiny, Vladimir: Gaussian processes with multidimensional distribution inputs via optimal transport and Hilbertian embedding (2020)
  3. Bain, Travaughn C.; Avila-Herrera, Juan F.; Subasi, Ersoy; Subasi, Munevver Mine: Logical analysis of multiclass data with relaxed patterns (2020)
  4. Bedoui, Adel; Lazar, Nicole A.: Bayesian empirical likelihood for ridge and Lasso regressions (2020)
  5. Binois, Mickaël; Ginsbourger, David; Roustant, Olivier: On the choice of the low-dimensional domain for global optimization via random embeddings (2020)
  6. Bisiacco, Mauro; Pillonetto, Gianluigi: Kernel absolute summability is sufficient but not necessary for RKHS stability (2020)
  7. Bourgey, Florian; De Marco, Stefano; Gobet, Emmanuel; Zhou, Alexandre: Multilevel Monte Carlo methods and lower-upper bounds in initial margin computations (2020)
  8. Bradley, Jonathan R.; Holan, Scott H.; Wikle, Christopher K.: Bayesian hierarchical models with conjugate full-conditional distributions for dependent data from the natural exponential family (2020)
  9. Buccini, Alessandro; De la Cruz Cabrera, Omar; Donatelli, Marco; Martinelli, Andrea; Reichel, Lothar: Large-scale regression with non-convex loss and penalty (2020)
  10. Canhong Wen, Aijun Zhang, Shijie Quan, Xueqin Wang: BeSS: An R Package for Best Subset Selection in Linear, Logistic and Cox Proportional Hazards Models (2020) not zbMATH
  11. Chen, Dachuan; Mykland, Per A.; Zhang, Lan: The five trolls under the bridge: principal component analysis with asynchronous and noisy high frequency data (2020)
  12. 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)
  13. Chouzenoux, Emilie; Corbineau, Marie-Caroline; Pesquet, Jean-Christophe: A proximal interior point algorithm with applications to image processing (2020)
  14. Dobler, Dennis; Friedrich, Sarah; Pauly, Markus: Nonparametric MANOVA in meaningful effects (2020)
  15. Dobriban, Edgar: Permutation methods for factor analysis and PCA (2020)
  16. Dovbysh, A. S.; Budnyk, M. M.; Piatachenko, V. Yu.; Myronenko, M. I.: Information-extreme machine learning of on-board vehicle recognition system (2020)
  17. Efron, Bradley: Prediction, estimation, and attribution (2020)
  18. Eftekhari, Armin; Hauser, Raphael A.: Principal component analysis by optimization of symmetric functions has no spurious local optima (2020)
  19. Fang, Guanhua; Ying, Zhiliang: Latent theme dictionary model for finding co-occurrent patterns in process data (2020)
  20. Fan, Jun; Xiang, Dao-Hong: Quantitative convergence analysis of kernel based large-margin unified machines (2020)

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