References in zbMATH (referenced in 1378 articles , 2 standard articles )

Showing results 1 to 20 of 1378.
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  1. Arous, Gerard Ben; Gheissari, Reza; Jagannath, Aukosh: Online stochastic gradient descent on non-convex losses from high-dimensional inference (2021)
  2. Atamturk, Alper; Gomez, Andres; Han, Shaoning: Sparse and smooth signal estimation: convexification of (\ell_0)-formulations (2021)
  3. Beetham, S.; Fox, R. O.; Capecelatro, J.: Sparse identification of multiphase turbulence closures for coupled fluid-particle flows (2021)
  4. Bermanis, Amit; Salhov, Moshe; Averbuch, Amir: Geometric component analysis and its applications to data analysis (2021)
  5. Bertsimas, Dimitris; Dunn, Jack; Wang, Yuchen: Near-optimal nonlinear regression trees (2021)
  6. Blaser, Rico; Fryzlewicz, Piotr: Regularizing axis-aligned ensembles via data rotations that favor simpler learners (2021)
  7. Bücher, Axel; Lilienthal, Jona; Kinsvater, Paul; Fried, Roland: Penalized quasi-maximum likelihood estimation for extreme value models with application to flood frequency analysis (2021)
  8. Caponera, Alessia; Durastanti, Claudio; Vidotto, Anna: Lasso estimation for spherical autoregressive processes (2021)
  9. Chatterji, Niladri S.; Long, Philip M.: Finite-sample analysis of interpolating linear classifiers in the overparameterized regime (2021)
  10. Cheng, Dan; Liu, Zishun: Spatio-temporal prediction of missing temperature with stochastic Poisson equations. The LC2019 team winning entry for the EVA 2019 data competition (2021)
  11. Chi, Heng; Zhang, Yuyu; Tang, Tsz Ling Elaine; Mirabella, Lucia; Dalloro, Livio; Song, Le; Paulino, Glaucio H.: Universal machine learning for topology optimization (2021)
  12. Doerr, Benjamin; Mayer, Sebastian: The recovery of ridge functions on the hypercube suffers from the curse of dimensionality (2021)
  13. Duchi, John C.; Ruan, Feng: Asymptotic optimality in stochastic optimization (2021)
  14. Fei, Zhe; Li, Yi: Estimation and inference for high dimensional generalized linear models: a splitting and smoothing approach (2021)
  15. Fuchs, Sebastian; Di Lascio, F. Marta L.; Durante, Fabrizio: Dissimilarity functions for rank-invariant hierarchical clustering of continuous variables (2021)
  16. Genç, Murat; Özkale, M. Revan: Usage of the GO estimator in high dimensional linear models (2021)
  17. Javadi, Sara; Bahrampour, Abbas; Saber, Mohammad Mehdi; Garrusi, Behshid; Baneshi, Mohammad Reza: Evaluation of four multiple imputation methods for handling missing binary outcome data in the presence of an interaction between a dummy and a continuous variable (2021)
  18. Jenkins, Phillip R.; Robbins, Matthew J.; Lunday, Brian J.: Approximate dynamic programming for military medical evacuation dispatching policies (2021)
  19. Jenkins, Phillip R.; Robbins, Matthew J.; Lunday, Brian J.: Approximate dynamic programming for the military aeromedical evacuation dispatching, preemption-rerouting, and redeployment problem (2021)
  20. Ju, Xiaomeng; Salibián-Barrera, Matías: Robust boosting for regression problems (2021)

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