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Estimating Nuisance Parameters in Inverse Problems

Estimating Nuisance Parameters in Inverse Problems

27 June 2012
Aleksandr Aravkin
Tristan van Leeuwen
ArXiv (abs)PDFHTML

Papers citing "Estimating Nuisance Parameters in Inverse Problems"

16 / 16 papers shown
A Saddle Point Remedy: Power of Variable Elimination in Non-convex Optimization
A Saddle Point Remedy: Power of Variable Elimination in Non-convex Optimization
Min Gan
Guang-yong Chen
Yang Yi
Lin Yang
127
0
0
03 Nov 2025
Ultra-fast feature learning for the training of two-layer neural networks in the two-timescale regime
Ultra-fast feature learning for the training of two-layer neural networks in the two-timescale regime
Raphael Barboni
Gabriel Peyré
François-Xavier Vialard
MLT
367
3
0
25 Apr 2025
Online Learning Under A Separable Stochastic Approximation Framework
Online Learning Under A Separable Stochastic Approximation FrameworkIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Min Gan
Xiang-Xiang Su
Guang-yong Chen
Jing Chen
334
10
0
12 May 2023
Adaptive minimax optimality in statistical inverse problems via SOLIT --
  Sharp Optimal Lepskii-Inspired Tuning
Adaptive minimax optimality in statistical inverse problems via SOLIT -- Sharp Optimal Lepskii-Inspired TuningInverse Problems (IP), 2023
Housen Li
Frank Werner
238
2
0
20 Apr 2023
Optimal design of large-scale nonlinear Bayesian inverse problems under
  model uncertainty
Optimal design of large-scale nonlinear Bayesian inverse problems under model uncertaintyInverse Problems (IP), 2022
A. Alexanderian
R. Nicholson
N. Petra
314
19
0
08 Nov 2022
Numerical Approximation of Partial Differential Equations by a Variable
  Projection Method with Artificial Neural Networks
Numerical Approximation of Partial Differential Equations by a Variable Projection Method with Artificial Neural NetworksComputer Methods in Applied Mechanics and Engineering (CMAME), 2022
S. Dong
Jielin Yang
255
24
0
24 Jan 2022
Optimal design of large-scale Bayesian linear inverse problems under
  reducible model uncertainty: good to know what you don't know
Optimal design of large-scale Bayesian linear inverse problems under reducible model uncertainty: good to know what you don't know
A. Alexanderian
N. Petra
G. Stadler
Isaac Sunseri
243
18
0
21 Jun 2020
Efficient Robust Parameter Identification in Generalized Kalman
  Smoothing Models
Efficient Robust Parameter Identification in Generalized Kalman Smoothing ModelsIEEE Transactions on Automatic Control (IEEE TAC), 2019
Jonathan Jonker
P. Zheng
Aleksandr Aravkin
164
6
0
30 Oct 2019
Trimmed Constrained Mixed Effects Models: Formulations and Algorithms
Trimmed Constrained Mixed Effects Models: Formulations and AlgorithmsbioRxiv (bioRxiv), 2019
P. Zheng
Ryan Barber
Reed J. D. Sorensen
Christopher J. L. Murray
Aleksandr Aravkin
249
145
0
24 Sep 2019
Sparse Principal Component Analysis via Variable Projection
Sparse Principal Component Analysis via Variable Projection
N. Benjamin Erichson
Peng Zeng
Krithika Manohar
Steven L. Brunton
J. Nathan Kutz
Aleksandr Aravkin
327
131
0
01 Apr 2018
Mean Reverting Portfolios via Penalized OU-Likelihood Estimation
Mean Reverting Portfolios via Penalized OU-Likelihood Estimation
Jize Zhang
Tim Leung
Aleksandr Aravkin
121
2
0
17 Mar 2018
A General Family of Trimmed Estimators for Robust High-dimensional Data
  Analysis
A General Family of Trimmed Estimators for Robust High-dimensional Data Analysis
Eunho Yang
A. Lozano
Aleksandr Aravkin
291
10
0
26 May 2016
Non-smooth Variable Projection
Non-smooth Variable Projection
Aleksandr Aravkin
Dmitriy Drusvyatskiy
832
8
0
19 Jan 2016
Automatic Inference of the Quantile Parameter
Automatic Inference of the Quantile Parameter
Karthikeyan N. Ramamurthy
Aleksandr Aravkin
Jayaraman J. Thiagarajan
125
2
0
12 Nov 2015
Robust and Trend Following Student's t Kalman Smoothers
Robust and Trend Following Student's t Kalman SmoothersSIAM Journal of Control and Optimization (SICON), 2013
Aleksandr Aravkin
J. Burke
G. Pillonetto
289
44
0
22 Mar 2013
Sparse seismic imaging using variable projection
Sparse seismic imaging using variable projection
Aleksandr Aravkin
Tristan van Leeuwen
N. Tu
240
7
0
05 Dec 2012
1
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