| Statistical inference for model parameters in stochastic gradient descent X Chen, JD Lee, XT Tong, Y Zhang | 174 | 2020 |
| Tikhonov regularization within ensemble Kalman inversion NK Chada, AM Stuart, XT Tong SIAM Journal on Numerical Analysis 58 (2), 1263-1294, 2020 | 99 | 2020 |
| Nonlinear stability and ergodicity of ensemble based Kalman filters XT Tong, AJ Majda, D Kelly Nonlinearity 29 (2), 657, 2016 | 99 | 2016 |
| Nonlinear stability of ensemble Kalman filters with adaptive covariance inflation AJMDK X.T. Tong Communications in Mathematical Sciences 14 (5), 1283-1313, 2016 | 77 | 2016 |
| Concrete ensemble Kalman filters with rigorous catastrophic filter divergence D Kelly, AJ Majda, XT Tong Proceedings of the National Academy of Sciences 112 (34), 10589-10594, 2015 | 68 | 2015 |
| Information barriers for noisy Lagrangian tracers in filtering random incompressible flows N Chen, AJ Majda, XT Tong Nonlinearity 27 (9), 2133, 2014 | 56 | 2014 |
| Profiling pareto front with multi-objective stein variational gradient descent X Liu, X Tong, Q Liu Advances in Neural Information Processing Systems 34, 14721-14733, 2021 | 45 | 2021 |
| Convergence acceleration of ensemble Kalman inversion in nonlinear settings N Chada, X Tong Mathematics of Computation 91 (335), 1247-1280, 2022 | 44 | 2022 |
| Localization for MCMC: sampling high-dimensional posterior distributions with local structure M Morzfeld, XT Tong, YM Marzouk Journal of Computational Physics 380, 1-28, 2019 | 42 | 2019 |
| Noisy Lagrangian tracers for filtering random rotating compressible flows N Chen, AJ Majda, XT Tong Journal of Nonlinear Science 25 (3), 451-488, 2015 | 42 | 2015 |
| Performance of ensemble Kalman filters in large dimensions AJ Majda, XT Tong Communications on Pure and Applied Mathematics 71 (5), 892-937, 2018 | 41 | 2018 |
| On stationary-point hitting time and ergodicity of stochastic gradient Langevin dynamics X Chen, SS Du, XT Tong Journal of Machine Learning Research 21 (68), 1-41, 2020 | 39 | 2020 |
| MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure XT Tong, M Morzfeld, YM Marzouk SIAM Journal on Scientific Computing 42 (3), A1765-A1788, 2020 | 35 | 2020 |
| A unified performance analysis of likelihood-informed subspace methods T Cui, XT Tong Bernoulli 28 (4), 2788-2815, 2022 | 30 | 2022 |
| Intermittency in turbulent diffusion models with a mean gradient AJ Majda, XT Tong Nonlinearity 28 (11), 4171, 2015 | 30 | 2015 |
| Performance analysis of local ensemble Kalman filter XT Tong Journal of Nonlinear Science 28 (4), 1397-1442, 2018 | 29 | 2018 |
| Localized ensemble Kalman inversion XT Tong, M Morzfeld Inverse Problems 39 (6), 064002, 2023 | 28 | 2023 |
| Replica exchange for non-convex optimization J Dong, XT Tong Journal of Machine Learning Research 22 (173), 1-59, 2021 | 28 | 2021 |
| Rigorous Analysis for Efficient Statistically Accurate Algorithms for Solving Fokker--Planck Equations in Large Dimensions N Chen, AJ Majda, XT Tong SIAM/ASA Journal on Uncertainty Quantification 6 (3), 1198-1223, 2018 | 28 | 2018 |
| Ergodicity and stability of the conditional distributions of nondegenerate Markov chains XT Tong, R Van Handel | 23 | 2012 |
Xi ChenProfessor at New York UniversityVerified email at nyu.edu