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ORCIDNeil K. Chada
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2020 – today
- 2024
[i18]Simon Weissmann, Neil K. Chada, Xin T. Tong:
The Ensemble Kalman Filter for Dynamic Inverse Problems. CoRR abs/2401.11948 (2024)- [i17]El Houcine Bergou, Neil K. Chada, Youssef Diouane:
A Stochastic Iteratively Regularized Gauss-Newton Method. CoRR abs/2409.12381 (2024) - 2023
- [j9]Neil K. Chada, Marco A. Iglesias
, Shuai Lu, Frank Werner:
On a Dynamic Variant of the Iteratively Regularized Gauss-Newton Method with Sequential Data. SIAM J. Sci. Comput. 45(3): 3020-3046 (2023) - [j8]Hamza M. Ruzayqat, Neil K. Chada, Ajay Jasra:
Unbiased Estimation Using Underdamped Langevin Dynamics. SIAM J. Sci. Comput. 45(3): 3047-3070 (2023) - [i16]Neil K. Chada, Philip J. Herbert:
The Stochastic Steepest Descent Method for Robust Optimization in Banach Spaces. CoRR abs/2308.06116 (2023) - [i15]Neil K. Chada, Benedict J. Leimkuhler, Daniel Paulin, Peter A. Whalley:
Unbiased Kinetic Langevin Monte Carlo with Inexact Gradients. CoRR abs/2311.05025 (2023) - 2022
- [j7]Neil K. Chada, Håkon Hoel, Ajay Jasra, Georgios E. Zouraris:
Improved Efficiency of Multilevel Monte Carlo for Stochastic PDE through Strong Pairwise Coupling. J. Sci. Comput. 93(2): 62 (2022) - [j6]Neil K. Chada, Ajay Jasra, Fangyuan Yu:
Multilevel Ensemble Kalman-Bucy Filters. SIAM/ASA J. Uncertain. Quantification 10(2): 584-618 (2022) - [j5]Neil K. Chada, Xin T. Tong:
Convergence acceleration of ensemble Kalman inversion in nonlinear settings. Math. Comput. 91(335): 1247-1280 (2022) - [j4]Jarkko Suuronen, Neil K. Chada, Lassi Roininen:
Cauchy Markov random field priors for Bayesian inversion. Stat. Comput. 32(2): 33 (2022) - [j3]Hamza M. Ruzayqat, Neil K. Chada, Ajay Jasra:
Multilevel estimation of normalization constants using ensemble Kalman-Bucy filters. Stat. Comput. 32(3): 38 (2022) - [i14]Neil K. Chada, Ajay Jasra, Kody J. H. Law, Sumeetpal S. Singh:
Multilevel Bayesian Deep Neural Networks. CoRR abs/2203.12961 (2022) - [i13]Neil K. Chada:
A Review of the EnKF for Parameter Estimation. CoRR abs/2207.12802 (2022) - [i12]Neil K. Chada, Marco A. Iglesias, Shuai Lu, Frank Werner:
On a Dynamic Variant of the Iteratively Regularized Gauss-Newton Method with Sequential Data. CoRR abs/2207.13499 (2022) - [i11]Miguel Alvarez, Neil K. Chada, Ajay Jasra:
Unbiased Estimation of the Vanilla and Deterministic Ensemble Kalman-Bucy Filters. CoRR abs/2208.03947 (2022) - [i10]Neil K. Chada, Quanjun Lang, Fei Lu, Xiong Wang:
A Data-Adaptive Prior for Bayesian Learning of Kernels in Operators. CoRR abs/2212.14163 (2022) - 2021
- [j2]Neil K. Chada, Jordan Franks, Ajay Jasra, Kody J. H. Law, Matti Vihola:
Unbiased Inference for Discretely Observed Hidden Markov Model Diffusions. SIAM/ASA J. Uncertain. Quantification 9(2): 763-787 (2021) - [i9]Neil K. Chada, Håkon Hoel, Ajay Jasra, Georgios E. Zouraris:
Improved efficiency of multilevel Monte Carlo for stochastic PDE through strong pairwise coupling. CoRR abs/2108.00794 (2021) - [i8]Hamza M. Ruzayqat, Neil K. Chada, Ajay Jasra:
Multilevel Estimation of Normalization Constants Using the Ensemble Kalman-Bucy Filter. CoRR abs/2108.03935 (2021) - [i7]Neil K. Chada, Ajay Jasra, Fangyuan Yu:
Unbiased Estimation of the Hessian for Partially Observed Diffusions. CoRR abs/2109.02371 (2021) - [i6]Simon Weissmann, Neil K. Chada, Claudia Schillings, Xin T. Tong:
Adaptive Tikhonov strategies for stochastic ensemble Kalman inversion. CoRR abs/2110.09142 (2021) - 2020
- [j1]Neil K. Chada, Andrew M. Stuart, Xin T. Tong:
Tikhonov Regularization within Ensemble Kalman Inversion. SIAM J. Numer. Anal. 58(2): 1263-1294 (2020) - [i5]Neil K. Chada, Claudia Schillings, Xin T. Tong, Simon Weissmann:
Consistency analysis of bilevel data-driven learning in inverse problems. CoRR abs/2007.02677 (2020) - [i4]Neil K. Chada, Yuming Chen, Daniel Sanz-Alonso:
Iterative Ensemble Kalman Methods: A Unified Perspective with Some New Variants. CoRR abs/2010.13299 (2020) - [i3]Neil K. Chada, Ajay Jasra, Fangyuan Yu:
Multilevel Ensemble Kalman-Bucy Filters. CoRR abs/2011.04342 (2020)
2010 – 2019
- 2019
- [i2]Neil K. Chada, Claudia Schillings, Simon Weissmann:
On the Incorporation of Box-Constraints for Ensemble Kalman Inversion. CoRR abs/1908.00696 (2019) - [i1]Neil K. Chada, Xin T. Tong:
Convergence Acceleration of Ensemble Kalman Inversion in Nonlinear Settings. CoRR abs/1911.02424 (2019)
Coauthor Index
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