Introduction to sampling methods. 2025 (to be submitted) - Book chapter: Bayesian Deep Learning
Sequential Monte Carlo samplers for Bayesian Deep Learning. 2025 (to be submitted) - Book chapter: Bayesian Deep Learning
Polylogarithm models for heavy-tailed counts: approximate Bayesian inference and application to weighted networks 2025 (to be submitted)
Joint parameter and hyper-parameter estimation with Bayesian trace-class neural networks 2025 (to be submitted)
N. K. Chada. Multilevel localized ensemble Kalman–Bucy filters. 2025. (under review)
N. K. Chada, A. Jasra, M. Maama and R. Tempone. Unbiased parameter estimation for Bayesian inverse problems. 2025. (under review)
E. Awadelkarim, N. K. Chada and A. Jasra. Unbiased approximations of invariant measures for McKean-Vlasov SDEs. 2024. (under review)
N. K. Chada, B. Leimkuhler, D. Paulin and P. Whalley. Unbiased kinetic Langevin Monte Carlo with inexact gradients. 2023. (under Revision)
N. K. Chada and P. J. Herbert. The stochastic steepest descent method for robust optimization in Banach spaces. 2023. (under review)
N. K. Chada, S. Lasanen and L. Roininen. Posterior convergence analysis of $\alpha$-stable sheets. 2020.
N. K. Chada, A. Jasra, K. J. H. Law and S. Singh.
SIAM Journal on Mathematics of Data Science, 7(3), p. 1210-1240, Doi: 10.1137/23M1544738, 2025.
A statistical framework and analysis for perfect radar pulse compression.
N. K. Chada, P. Piiroinen and L. Roininen.
Inverse Problems and Imaging, Doi: 10.3934/ipi.2025018, 2025.
Learning dynamical systems from data: gradient dictionary optimization.
M. Tabish, N. K. Chada and S. Klus.
Physica D: Nonlinear Phenomena, Vol. 481, 134822, 2025.
Special issue: New Horizons at the Intersections of Machine Learning, Dynamical Systems, and Algorithmic Information Theory
Sampling from Bayesian neural network posteriors with symmetric minibatch splitting Langevin dynamics.
D. Paulin, P. Whalley, N. K. Chada, B. Leimkuhler.
28th International Conference on Artifical Intelligence and Statistics, PMLR, Vol. 258. p. 5014-5022, 2025.
Decoupling epistemic and aleatoric uncertainties with possibility theory.
N. M. Hieu, J. Houssineau, N. K. Chada and E. Delande.
28th International Conference on Artifical Intelligence and Statistics, PMLR, Vol. 258. p. 2899-2907 2025.
A stochastic iteratively regularized Gauss-Newton method.
E. Bergou, N. Chada, Y. Diouane.
Inverse Problems, 41 015005, 2025.
A data-adaptive RKHS prior for Bayesian learning of kernels in operators.
N. K. Chada, Q. Lang, F. Lu, X. Wang.
Journal of Machine Learning Research, 25, 1-37, 2024.
The ensemble Kalman filter for dynamic inverse problems.
N. K. Chada, S. Weissmann, X. T. Tong.
Information and Inference: A Journal of the IMA, 18(4), 2024.
Unbiased estimation using the underdamped Langevin dynamics.
H. Ruzaquat, N. K. Chada, A. Jasra.
SIAM Journal on Scientific Computing, 45(6), 3047-3070, 2023.
On a dynamic iteratively regularized Gauss--Newton method with sequential data.
N. K. Chada, M. Iglesias, S. Lu, F. Werner.
SIAM Journal on Scientific Computing, 45(6), 3020-3046, 2023.
Hierarchical alpha-stable process priors in Bayesian inverse problems.
J. Suuronen, T. Soto, N. K. Chada, L. Roininen.
Inverse Problems, 39 105007, 2023.
Unbiased estimation of the vanilla and deterministic ensemble Kalman-Bucy filter.
M. Alvarez, N. K. Chada, A. Jasra.
International Journal on Uncertainty Quantification, 13(6),83-105, 2023.
A Review of the EnKF for parameter estimation.
Advances in Inverse Problems, (Intech Open Book Review), 2022.
[arxiv] [Journal]
Improved efficiency of MLMC for SPDE through strong pairwise coupling.
N. K. Chada, H. Hoel, A. Jasra, G. Zouraris.
Journal of Scientific Computing, 93(62), 2022.
Multilevel estimation of normalizing constants of the ensemble Kalman-Bucy filter.
H. Ruzayqat, N. K. Chada, A. Jasra.
Statistics and Computing, 32(38), 2022.
Unbiased estimation of the Hessian for partially observed diffusions.
N. K. Chada, A. Jasra, F. Yu.
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 478(2262), 2022.
Multilevel ensemble Kalman-Bucy filters.
N. K. Chada, A. Jasra, F. Yu.
SIAM/ASA Journal on Uncertainty Quantification, 10(2), 584-618, 2022.
Convergence acceleration of ensemble Kalman inversion in nonlinear settings.
N. K. Chada, X. T. Tong.
Mathematics of Computation, 91(355), 1247-1280, 2022.
Adaptive Tikhonov strategies for stochastic ensemble Kalman inversion.
S. Weissmann, N. K. Chada, C. Schillings, X. T. Tong.
Inverse Problems, 38(4) 045009, 2022.
Cauchy Markov Random Priors for Bayesian Inversion.
J. Suuronen, N. K. Chada, L. Roininen.
Statistics and Computing, 32(33), 2022.
Consistency analysis of bilevel data-driven learning in inverse problems.
N. K. Chada, C. Schillings, X. T. Tong, S. Weissmann.
Communications in Mathematical Sciences, 20(1), 123-164, 2022.
Unbiased estimation of discretely observed hidden Markov model diffusions.
N. K. Chada, J. Franks, A. Jasra, K. J. H. Law, M. Vihola.
SIAM/ASA Journal on Uncertainty Quantification, 9(2), 763-787, 2021.
Iterative ensemble Kalman methods: A unified perspective with some new variants.
N. K. Chada, Y. Chen, D. Sanz-Alonso.
Foundations of Data Science, 3(3) 331-369, 2021.
Discussion on "Linear mixed effects models for non-Gaussian continuous repeated measurement data".
N. K. Chada, A. Jasra.
Journal of the Royal Statistical Society: Series C, 2020.
[Journal]
Tikhonov regularization with ensemble Kalman inversion.
N. K. Chada, A. M. Stuart, X. T. Tong.
SIAM Journal on Numerical Analysis, 58(2), 1263-1294, 2020.
Limit analysis of hierarchical ensemble Kalman inversion.
N. K. Chada.
Journal of Ill-Posed and Inverse Problems, 2020.
[arxiv] [Journal]
On the incorporation of box-constraints for ensemble Kalman inversion.
N. K. Chada, C. Schillings, S. Weissmann.
Foundations of Data Science, 4(1), 2019.
Parameterizations of ensemble Kalman inversion.
N. K. Chada, M. A. Iglesias, L. Roininen, A. M.Stuart.
Inverse Problems, 34(5), 2018.
PhD thesis: Ensemble based methods for geometric inverse problems, 2018.
MSc thesis: A RB-EnKF method for geometric inversion, 2015.