default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSergei V. Pereverzyev
Person information
- affiliation: Austrian Academy of Sciences, Institute for Computational and Applied Mathematics (RICAM), Linz, Austria
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j44]Markus Holzleitner, Sergei V. Pereverzyev
:
On regularized polynomial functional regression. J. Complex. 83: 101853 (2024)- [j43]Yuanyuan Li, Shuai Lu, Peter Mathé, Sergei V. Pereverzev:
Two-layer networks with the ReLUk activation function: Barron spaces and derivative approximation. Numerische Mathematik 156(1): 319-344 (2024) - [i9]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 abs/2405.04147 (2024) - 2023
- [j42]Werner Zellinger, Stefan Kindermann, Sergei V. Pereverzyev:
Adaptive Learning of Density Ratios in RKHS. J. Mach. Learn. Res. 24: 395:1-395:28 (2023) - [c4]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 - [i8]Markus Holzleitner, Sergei V. Pereverzyev, Werner Zellinger:
Domain Generalization by Functional Regression. CoRR abs/2302.04724 (2023) - [i7]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 abs/2305.01281 (2023) - [i6]Hoan Duc Nguyen, Sergei V. Pereverzyev, Werner Zellinger:
General regularization in covariate shift adaptation. CoRR abs/2307.11503 (2023) - [i5]Werner Zellinger, Stefan Kindermann, Sergei V. Pereverzyev:
Adaptive learning of density ratios in RKHS. CoRR abs/2307.16164 (2023) - [i4]Duc Hoan Nguyen, Werner Zellinger, Sergei V. Pereverzyev:
On regularized Radon-Nikodym differentiation. CoRR abs/2308.07887 (2023) - [i3]Markus Holzleitner, Sergei V. Pereverzyev:
On regularized polynomial functional regression. CoRR abs/2311.03036 (2023) - 2021
- [j41]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: 707884 (2021) - [c3]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: 20798-20811 - [i2]Hrushikesh N. Mhaskar, Sergei V. Pereverzyev, Maria D. van der Walt:
A function approximation approach to the prediction of blood glucose levels. CoRR abs/2105.05893 (2021) - 2020
- [j40]Sergei V. Pereverzev, Sergei G. Solodky, Vitalii B. Vasylyk, Mark Zic:
Regularized Collocation in Distribution of Diffusion Times Applied to Electrochemical Impedance Spectroscopy. Comput. Methods Appl. Math. 20(3): 517-530 (2020)
2010 – 2019
- 2019
- [j39]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: 21 (2019) - 2017
- [j38]Sergei V. Pereverzyev, Pavlo Tkachenko:
Regularization by the Linear Functional Strategy with Multiple Kernels. Frontiers Appl. Math. Stat. 3: 1 (2017) - [j37]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: 14 (2017) - [j36]Peter Mathé, Sergei V. Pereverzev:
Complexity of linear ill-posed problems in Hilbert space. J. Complex. 38: 50-67 (2017) - [c2]Galyna Kriukova, Nadiya Shvai, Sergei V. Pereverzyev:
Application of regularized ranking and collaborative filtering in predictive alarm algorithm for nocturnal hypoglycemia prevention. IDAACS 2017: 634-638 - [i1]Hrushikesh N. Mhaskar, Sergei V. Pereverzyev, Maria D. van der Walt:
A deep learning approach to diabetic blood glucose prediction. CoRR abs/1707.05828 (2017) - 2016
- [j35]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: 993-1005 (2016) - [j34]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: 179-186 (2016) - [j33]Galyna Kriukova, Sergei V. Pereverzyev, Pavlo Tkachenko:
On the convergence rate and some applications of regularized ranking algorithms. J. Complex. 33: 14-29 (2016) - [j32]Galyna Kriukova, Oleksandra Panasiuk, Sergei V. Pereverzyev, Pavlo Tkachenko:
A linear functional strategy for regularized ranking. Neural Networks 73: 26-35 (2016) - 2015
- [j31]Sergei V. Pereverzyev, Pavlo Tkachenko:
Pointwise Computation in an Ill-Posed Spherical Pseudo-Differential Equation. Comput. Methods Appl. Math. 15(2): 213-219 (2015) - [j30]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): 820-835 (2015) - 2014
- [j29]Hui Cao, Sergei V. Pereverzev, Eva Sincich:
Discretized Tikhonov regularization for Robin boundaries localization. Appl. Math. Comput. 226: 374-385 (2014) - [j28]Massimo Fornasier, Valeriya Naumova, Sergei V. Pereverzyev:
Parameter Choice Strategies for Multipenalty Regularization. SIAM J. Numer. Anal. 52(4): 1770-1794 (2014) - 2013
- [j27]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: 835-847 (2013) - 2012
- [j26]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): 524-538 (2012) - [j25]Valeriya Naumova, Sergei V. Pereverzyev, Sivananthan Sivananthan:
A meta-learning approach to the regularized learning - Case study: Blood glucose prediction. Neural Networks 33: 181-193 (2012) - 2011
- [j24]Shuai Lu, Sergei V. Pereverzev:
Multi-parameter regularization and its numerical realization. Numerische Mathematik 118(1): 1-31 (2011) - [c1]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: 5158-5163 - 2010
- [j23]Ernesto De Vito, Sergei V. Pereverzyev, Lorenzo Rosasco:
Adaptive Kernel Methods Using the Balancing Principle. Found. Comput. Math. 10(4): 455-479 (2010)
2000 – 2009
- 2009
- [j22]Peter Mathé, Sergei V. Pereverzev:
The use of higher order finite difference schemes is not dangerous. J. Complex. 25(1): 3-10 (2009) - [j21]Shuai Lu, Sergei V. Pereverzev:
Sparse recovery by the standard Tikhonov method. Numerische Mathematik 112(3): 403-424 (2009) - [j20]Shuai Lu, Sergei V. Pereverzev, Ulrich Tautenhahn:
Regularized Total Least Squares: Computational Aspects and Error Bounds. SIAM J. Matrix Anal. Appl. 31(3): 918-941 (2009) - 2007
- [j19]Frank Bauer, Sergei V. Pereverzev, Lorenzo Rosasco:
On regularization algorithms in learning theory. J. Complex. 23(1): 52-72 (2007) - [j18]M. Thamban Nair, Sergei V. Pereverzev:
Regularized collocation method for Fredholm integral equations of the first kind. J. Complex. 23(4-6): 454-467 (2007) - [j17]Raytcho D. Lazarov, Shuai Lu, Sergei V. Pereverzev:
On the balancing principle for some problems of Numerical Analysis. Numerische Mathematik 106(4): 659-689 (2007) - 2006
- [j16]Peter Mathé, Sergei V. Pereverzev:
The discretized discrepancy principle under general source conditions. J. Complex. 22(3): 371-381 (2006) - [j15]Shuai Lu, Sergei V. Pereverzev:
Numerical differentiation from a viewpoint of regularization theory. Math. Comput. 75(256): 1853-1870 (2006) - [j14]Peter Mathé, Sergei V. Pereverzev:
Regularization of some linear ill-posed problems with discretized random noisy data. Math. Comput. 75(256): 1913-1929 (2006) - 2005
- [j13]Sergei V. Pereverzev, Eberhard Schock:
On the Adaptive Selection of the Parameter in Regularization of Ill-Posed Problems. SIAM J. Numer. Anal. 43(5): 2060-2076 (2005) - 2003
- [j12]Helmut Harbrecht, Sergei V. Pereverzev, Reinhold Schneider:
Self-regularization by projection for noisy pseudodifferential equations of negative order. Numerische Mathematik 95(1): 123-143 (2003) - 2002
- [j11]Peter Mathé, Sergei V. Pereverzev:
Stable Summation of Orthogonal Series with Noisy Coefficients. J. Approx. Theory 118(1): 66-80 (2002) - [j10]Sergei V. Pereverzev, Grzegorz W. Wasilkowski:
Dagstuhl 2000. J. Complex. 18(2): 393- (2002) - [j9]Peter Mathé, Sergei V. Pereverzev:
Direct Estimation of Linear Functionals from Indirect Noisy Observations. J. Complex. 18(2): 500-516 (2002) - 2001
- [j8]Peter Maaß, Sergei V. Pereverzev, Ronny Ramlau, Sergei G. Solodky:
An adaptive discretization for Tikhonov-Phillips regularization with a posteriori parameter selection. Numerische Mathematik 87(3): 485-502 (2001) - [j7]Peter Mathé, Sergei V. Pereverzev:
Optimal Discretization of Inverse Problems in Hilbert Scales. Regularization and Self-Regularization of Projection Methods. SIAM J. Numer. Anal. 38(6): 1999-2021 (2001)
1990 – 1999
- 1999
- [j6]Sergei V. Pereverzev, Eberhard Schock:
Brakhage's Implicit Iteration Method and the Information Complexity of Equations with Operators Having Closed Range. J. Complex. 15(3): 385-401 (1999) - 1996
- [b1]Sergei V. Pereverzev:
Optimization of Methods for Approximate Solution of Operator Equations. Nova Science Publishers 1996, ISBN 978-1-56072-140-6, pp. 1-352 - [j5]Karin Frank, Stefan Heinrich, Sergei V. Pereverzev:
Information Complexity of Multivariate Fredholm Integral Equations in Sobolev Classes. J. Complex. 12(1): 17-34 (1996) - [j4]Sergei V. Pereverzev, Sergei G. Solodky:
The Minimal Radius of Galerkin Information for the Fredholm Problem of the First Kind. J. Complex. 12(4): 401-415 (1996) - 1995
- [j3]Sergei V. Pereverzyev:
Optimization of Projection Methods for Solving Ill-Posed Problems. Computing 55(2): 113-124 (1995) - 1993
- [j2]Sergei V. Pereverzev, Sergei G. Solodky:
On Optimization of Direct Methods of Solving Weakly Singular Integral Equations. J. Complex. 9(2): 313-325 (1993) - 1992
- [j1]Sergei V. Pereverzev, Cosnazar C. Scharipov:
Information complexity of equations of the second kind with compact operators in Hilbert space. J. Complex. 8(2): 176-202 (1992)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:15 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
