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Convergence analysis of Tikhonov regularization for non-linear
  statistical inverse learning problems
v1v2 (latest)

Convergence analysis of Tikhonov regularization for non-linear statistical inverse learning problems

14 February 2019
Abhishake Rastogi
Gilles Blanchard
Peter Mathé
ArXiv (abs)PDFHTML

Papers citing "Convergence analysis of Tikhonov regularization for non-linear statistical inverse learning problems"

5 / 5 papers shown
Statistical inverse learning problems with random observations
Statistical inverse learning problems with random observations
Abhishake
T. Helin
Nicole Mucke
213
3
0
23 Dec 2023
Learned reconstruction methods for inverse problems: sample error
  estimates
Learned reconstruction methods for inverse problems: sample error estimates
Luca Ratti
274
1
0
21 Dec 2023
Statistical Inverse Problems in Hilbert Scales
Statistical Inverse Problems in Hilbert ScalesJournal of Complexity (J. Complexity), 2022
Abhishake Rastogi
130
3
0
28 Aug 2022
Convergence Rates for Learning Linear Operators from Noisy Data
Convergence Rates for Learning Linear Operators from Noisy Data
Maarten V. de Hoop
Nikola B. Kovachki
Nicholas H. Nelsen
Andrew M. Stuart
445
68
0
27 Aug 2021
Nonparametric approximation of conditional expectation operators
Nonparametric approximation of conditional expectation operators
Mattes Mollenhauer
P. Koltai
432
21
0
23 Dec 2020
1
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