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

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  1. Beetham, S.; Fox, R. O.; Capecelatro, J.: Sparse identification of multiphase turbulence closures for coupled fluid-particle flows (2021)
  2. Bertsimas, Dimitris; Dunn, Jack; Wang, Yuchen: Near-optimal nonlinear regression trees (2021)
  3. Chi, Heng; Zhang, Yuyu; Tang, Tsz Ling Elaine; Mirabella, Lucia; Dalloro, Livio; Song, Le; Paulino, Glaucio H.: Universal machine learning for topology optimization (2021)
  4. Doerr, Benjamin; Mayer, Sebastian: The recovery of ridge functions on the hypercube suffers from the curse of dimensionality (2021)
  5. Duchi, John C.; Ruan, Feng: Asymptotic optimality in stochastic optimization (2021)
  6. Fuchs, Sebastian; Di Lascio, F. Marta L.; Durante, Fabrizio: Dissimilarity functions for rank-invariant hierarchical clustering of continuous variables (2021)
  7. Genç, Murat; Özkale, M. Revan: Usage of the GO estimator in high dimensional linear models (2021)
  8. Ju, Xiaomeng; Salibián-Barrera, Matías: Robust boosting for regression problems (2021)
  9. Kanno, Yoshihiro: A kernel method for learning constitutive relation in data-driven computational elasticity (2021)
  10. Kounchev, O.; Render, H.: Error estimates for interpolation with piecewise exponential splines of order two and four (2021)
  11. Lin, Rongrong; Song, Guohui; Zhang, Haizhang: Multi-task learning in vector-valued reproducing kernel Banach spaces with the (\ell^1) norm (2021)
  12. Neto, David: Adaptive LASSO for selecting Fourier coefficients in a functional smooth time-varying cointegrating regression: an application to the Feldstein-Horioka puzzle (2021)
  13. Panin, Ivan: Risk of estimators for Sobol’ sensitivity indices based on metamodels (2021)
  14. Park, Jonghwan; Choi, Haecheon: Toward neural-network-based large eddy simulation: application to turbulent channel flow (2021)
  15. Popkov, Yu. S.; Dubnov, Yu. A.; Popkov, A. Yu.: Entropy-randomized projection (2021)
  16. Su, Jiun-Hua: Model selection in utility-maximizing binary prediction (2021)
  17. Wu, Peng; Xu, Xinyi; Tong, Xingwei; Jiang, Qing; Lu, Bo: Semiparametric estimation for average causal effects using propensity score-based spline (2021)
  18. Ahmadi, Hesam; Shanbhag, Uday V.: On the resolution of misspecified convex optimization and monotone variational inequality problems (2020)
  19. Aria, Massimo; D’Ambrosio, Antonio; Iorio, Carmela; Siciliano, Roberta; Cozza, Valentina: Dynamic recursive tree-based partitioning for malignant melanoma identification in skin lesion dermoscopic images (2020)
  20. Arku, Dennis; Doku-Amponsah, Kwabena; Howard, Nathaniel K.: A Markov-modulated tree-based gradient boosting model for auto-insurance risk premium pricing (2020)

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