Sergei V. Pereverzyev

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 21

Top Topics

Differential Equations

Smooth Functions

Top Venues

Frontiers Appl. Math. Stat.

SIAM J. Numer. Anal.

Publications

Markus Holzleitner, Sergei V. Pereverzyev
On regularized polynomial functional regression. J. Complex. 83 (2024)
Elke Ruth Gizewski, Markus Holzleitner, Lukas Mayer-Suess, Sergiy Pereverzyev Jr., Sergei V. Pereverzyev
Multiparameter regularization and aggregation in the context of polynomial functional regression. CoRR (2024)
Duc Hoan Nguyen, Werner Zellinger, Sergei V. Pereverzyev
On regularized Radon-Nikodym differentiation. CoRR (2023)
Hoan Duc Nguyen, Sergei V. Pereverzyev, Werner Zellinger
General regularization in covariate shift adaptation. CoRR (2023)
Werner Zellinger, Stefan Kindermann, Sergei V. Pereverzyev
Adaptive learning of density ratios in RKHS. CoRR (2023)
Marius-Constantin Dinu, Markus Holzleitner, Maximilian Beck, Hoan Duc Nguyen, Andrea Huber, Hamid Eghbal-zadeh, Bernhard Alois Moser, Sergei V. Pereverzyev, Sepp Hochreiter, Werner Zellinger
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation. CoRR (2023)
Markus Holzleitner, Sergei V. Pereverzyev, Werner Zellinger
Domain Generalization by Functional Regression. CoRR (2023)
Marius-Constantin Dinu, Markus Holzleitner, Maximilian Beck, Hoan Duc Nguyen, Andrea Huber, Hamid Eghbal-zadeh, Bernhard Alois Moser, Sergei V. Pereverzyev, Sepp Hochreiter, Werner Zellinger
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation. ICLR (2023)
Markus Holzleitner, Sergei V. Pereverzyev
On regularized polynomial functional regression. CoRR (2023)
Hrushikesh N. Mhaskar, Sergei V. Pereverzyev, Maria D. van der Walt
A function approximation approach to the prediction of blood glucose levels. CoRR (2021)
Werner Zellinger, Natalia Shepeleva, Marius-Constantin Dinu, Hamid Eghbal-zadeh, Hoan Duc Nguyen, Bernhard Nessler, Sergei V. Pereverzyev, Bernhard Alois Moser
The balancing principle for parameter choice in distance-regularized domain adaptation. NeurIPS (2021)
Hrushikesh N. Mhaskar, Sergei V. Pereverzyev, Maria D. van der Walt
A Function Approximation Approach to the Prediction of Blood Glucose Levels. Frontiers Appl. Math. Stat. 7 (2021)
Hrushikesh N. Mhaskar, Sergei V. Pereverzyev, Vasyl Yu. Semenov, Evgeniya V. Semenova
Data Based Construction of Kernels for Semi-Supervised Learning With Less Labels. Frontiers Appl. Math. Stat. 5 (2019)
Hrushikesh N. Mhaskar, Sergei V. Pereverzyev, Maria D. van der Walt
A Deep Learning Approach to Diabetic Blood Glucose Prediction. Frontiers Appl. Math. Stat. 3 (2017)
Sergei V. Pereverzyev, Pavlo Tkachenko
Regularization by the Linear Functional Strategy with Multiple Kernels. Frontiers Appl. Math. Stat. 3 (2017)
Hrushikesh N. Mhaskar, Sergei V. Pereverzyev, Maria D. van der Walt
A deep learning approach to diabetic blood glucose prediction. CoRR (2017)
Galyna Kriukova, Nadiya Shvai, Sergei V. Pereverzyev
Application of regularized ranking and collaborative filtering in predictive alarm algorithm for nocturnal hypoglycemia prevention. IDAACS (2017)
Pavlo Tkachenko, Galyna Kriukova, Marharyta Aleksandrova, Oleg Chertov, Eric Renard, Sergei V. Pereverzyev
Prediction of nocturnal hypoglycemia by an aggregation of previously known prediction approaches: proof of concept for clinical application. Comput. Methods Programs Biomed. 134 (2016)
Hui Cao, Sergei V. Pereverzyev, Ian H. Sloan, Pavlo Tkachenko
Two-parameter regularization of ill-posed spherical pseudo-differential equations in the space of continuous functions. Appl. Math. Comput. 273 (2016)
Galyna Kriukova, Oleksandra Panasiuk, Sergei V. Pereverzyev, Pavlo Tkachenko
A linear functional strategy for regularized ranking. Neural Networks 73 (2016)
Galyna Kriukova, Sergei V. Pereverzyev, Pavlo Tkachenko
On the convergence rate and some applications of regularized ranking algorithms. J. Complex. 33 (2016)
Sergei V. Pereverzyev, Pavlo Tkachenko
Pointwise Computation in an Ill-Posed Spherical Pseudo-Differential Equation. Comput. Methods Appl. Math. 15 (2) (2015)
Sergei V. Pereverzyev, Ian H. Sloan, Pavlo Tkachenko
Parameter Choice Strategies for Least-squares Approximation of Noisy Smooth Functions on the Sphere. SIAM J. Numer. Anal. 53 (2) (2015)
Massimo Fornasier, Valeriya Naumova, Sergei V. Pereverzyev
Parameter Choice Strategies for Multipenalty Regularization. SIAM J. Numer. Anal. 52 (4) (2014)
Hrushikesh Narhar Mhaskar, Valeriya Naumova, Sergei V. Pereverzyev
Filtered Legendre expansion method for numerical differentiation at the boundary point with application to blood glucose predictions. Appl. Math. Comput. 224 (2013)
Valeriya Naumova, Sergei V. Pereverzyev, Sivananthan Sivananthan
A meta-learning approach to the regularized learning - Case study: Blood glucose prediction. Neural Networks 33 (2012)
Valeriya Naumova, Sergei V. Pereverzyev, Sivananthan Sivananthan
Adaptive parameter choice for one-sided finite difference schemes and its application in diabetes technology. J. Complex. 28 (5-6) (2012)
Valeriya Naumova, Sergei V. Pereverzyev, Sivananthan Sampath
Reading blood glucose from subcutaneous electric current by means of a regularization in variable Reproducing Kernel Hilbert Spaces. CDC/ECC (2011)
Ernesto De Vito, Sergei V. Pereverzyev, Lorenzo Rosasco
Adaptive Kernel Methods Using the Balancing Principle. Found. Comput. Math. 10 (4) (2010)