Neil K. Chada

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 28

Top Topics

Inverse Problems

Driven Learning

Sequential Data

Top Venues

SIAM J. Sci. Comput.

SIAM/ASA J. Uncertain. Quantification

Publications

Simon Weissmann, Neil K. Chada, Xin T. Tong
The Ensemble Kalman Filter for Dynamic Inverse Problems. CoRR (2024)
Neil K. Chada, Philip J. Herbert
The Stochastic Steepest Descent Method for Robust Optimization in Banach Spaces. CoRR (2023)
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) (2023)
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 (6) (2023)
Neil K. Chada, Benedict J. Leimkuhler, Daniel Paulin, Peter A. Whalley
Unbiased Kinetic Langevin Monte Carlo with Inexact Gradients. CoRR (2023)
Hamza M. Ruzayqat, Neil K. Chada, Ajay Jasra
Unbiased Estimation Using Underdamped Langevin Dynamics. SIAM J. Sci. Comput. 45 (3) (2023)
Hamza M. Ruzayqat, Neil K. Chada, Ajay Jasra
Unbiased Estimation Using Underdamped Langevin Dynamics. SIAM J. Sci. Comput. 45 (6) (2023)
Neil K. Chada, Quanjun Lang, Fei Lu, Xiong Wang
A Data-Adaptive Prior for Bayesian Learning of Kernels in Operators. CoRR (2022)
Hamza M. Ruzayqat, Neil K. Chada, Ajay Jasra
Multilevel estimation of normalization constants using ensemble Kalman-Bucy filters. Stat. Comput. 32 (3) (2022)
Miguel Alvarez, Neil K. Chada, Ajay Jasra
Unbiased Estimation of the Vanilla and Deterministic Ensemble Kalman-Bucy Filters. CoRR (2022)
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) (2022)
Neil K. Chada, Ajay Jasra, Kody J. H. Law, Sumeetpal S. Singh
Multilevel Bayesian Deep Neural Networks. CoRR (2022)
Neil K. Chada
A Review of the EnKF for Parameter Estimation. CoRR (2022)
Neil K. Chada, Ajay Jasra, Fangyuan Yu
Multilevel Ensemble Kalman-Bucy Filters. SIAM/ASA J. Uncertain. Quantification 10 (2) (2022)
Jarkko Suuronen, Neil K. Chada, Lassi Roininen
Cauchy Markov random field priors for Bayesian inversion. Stat. Comput. 32 (2) (2022)
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 (2022)
Neil K. Chada, Xin T. Tong
Convergence acceleration of ensemble Kalman inversion in nonlinear settings. Math. Comput. 91 (335) (2022)
Simon Weissmann, Neil K. Chada, Claudia Schillings, Xin T. Tong
Adaptive Tikhonov strategies for stochastic ensemble Kalman inversion. CoRR (2021)
Neil K. Chada, Ajay Jasra, Fangyuan Yu
Unbiased Estimation of the Hessian for Partially Observed Diffusions. CoRR (2021)
Neil K. Chada, Håkon Hoel, Ajay Jasra, Georgios E. Zouraris
Improved efficiency of multilevel Monte Carlo for stochastic PDE through strong pairwise coupling. CoRR (2021)
Hamza M. Ruzayqat, Neil K. Chada, Ajay Jasra
Multilevel Estimation of Normalization Constants Using the Ensemble Kalman-Bucy Filter. CoRR (2021)
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) (2021)
Neil K. Chada, Yuming Chen, Daniel Sanz-Alonso
Iterative Ensemble Kalman Methods: A Unified Perspective with Some New Variants. CoRR (2020)
Neil K. Chada, Andrew M. Stuart, Xin T. Tong
Tikhonov Regularization within Ensemble Kalman Inversion. SIAM J. Numer. Anal. 58 (2) (2020)
Neil K. Chada, Ajay Jasra, Fangyuan Yu
Multilevel Ensemble Kalman-Bucy Filters. CoRR (2020)
Neil K. Chada, Claudia Schillings, Xin T. Tong, Simon Weissmann
Consistency analysis of bilevel data-driven learning in inverse problems. CoRR (2020)
Neil K. Chada, Claudia Schillings, Simon Weissmann
On the Incorporation of Box-Constraints for Ensemble Kalman Inversion. CoRR (2019)
Neil K. Chada, Xin T. Tong
Convergence Acceleration of Ensemble Kalman Inversion in Nonlinear Settings. CoRR (2019)