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ORCIDXin T. Tong
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- affiliation: National University of Singapore, Department of Mathematics, Singapore
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2020 – today
- 2024
[c2]Shiwei Zhao
, Xi Yuan, Runze Wu, Zhipeng Hu, Haoyu Liu, Kai Wang, Yujing Hu, Tangjie Lv, Changjie Fan, Xin T. Tong, Jiangze Han, Yan Zheng, Jianye Hao:
The MMO Economist: AI Empowers Robust, Healthy, and Sustainable P2W MMO Economies. WWW (Companion Volume) 2024: 443-452- [i16]Simon Weissmann, Neil K. Chada, Xin T. Tong:
The Ensemble Kalman Filter for Dynamic Inverse Problems. CoRR abs/2401.11948 (2024) - [i15]Jiangze Han, Christopher Thomas Ryan, Xin T. Tong:
Wasserstein gradient flow for optimal probability measure decomposition. CoRR abs/2406.00914 (2024) - [i14]Rafael Flock, Shuigen Liu, Yiqiu Dong, Xin T. Tong:
Local MALA-within-Gibbs for Bayesian image deblurring with total variation prior. CoRR abs/2409.09810 (2024) - [i13]Ethan Che, Jing Dong, Xin T. Tong:
Stochastic Gradient Descent with Adaptive Data. CoRR abs/2410.01195 (2024) - [i12]Ningxin Liu, Shuigen Liu, Xin T. Tong, Lijian Jiang:
Estimate of Koopman modes and eigenvalues with Kalman Filter. CoRR abs/2410.02815 (2024) - [i11]Thieu N. Vo, Tung D. Pham, Xin T. Tong, Tan Minh Nguyen:
Demystifying the Token Dynamics of Deep Selective State Space Models. CoRR abs/2410.03292 (2024) - 2023
- [i10]Shuigen Liu, Sebastian Reich, Xin T. Tong:
Dropout Ensemble Kalman inversion for high dimensional inverse problems. CoRR abs/2308.16784 (2023) - 2022
- [j11]Neil K. Chada, Xin T. Tong:
Convergence acceleration of ensemble Kalman inversion in nonlinear settings. Math. Comput. 91(335): 1247-1280 (2022) - [c1]Ruqi Zhang, Qiang Liu, Xin T. Tong:
Sampling in Constrained Domains with Orthogonal-Space Variational Gradient Descent. NeurIPS 2022 - [i9]Xin T. Tong, Matthias Morzfeld:
Localization in Ensemble Kalman inversion. CoRR abs/2201.10821 (2022) - [i8]Jing Dong, Xin T. Tong:
Stochastic Gradient Descent with Dependent Data for Offline Reinforcement Learning. CoRR abs/2202.02850 (2022) - [i7]Yi Chen, Jing Dong, Xin T. Tong:
Can We Do Better Than Random Start? The Power of Data Outsourcing. CoRR abs/2205.08098 (2022) - [i6]Ruqi Zhang, Qiang Liu, Xin T. Tong:
Sampling in Constrained Domains with Orthogonal-Space Variational Gradient Descent. CoRR abs/2210.06447 (2022) - 2021
- [j10]Jing Dong, Xin T. Tong:
Replica Exchange for Non-Convex Optimization. J. Mach. Learn. Res. 22: 173:1-173:59 (2021) - [i5]Simon Weissmann, Neil K. Chada, Claudia Schillings, Xin T. Tong:
Adaptive Tikhonov strategies for stochastic ensemble Kalman inversion. CoRR abs/2110.09142 (2021) - 2020
- [j9]Xi Chen, Simon S. Du, Xin T. Tong:
On Stationary-Point Hitting Time and Ergodicity of Stochastic Gradient Langevin Dynamics. J. Mach. Learn. Res. 21: 68:1-68:41 (2020) - [j8]Qiang Liu, Xin T. Tong:
Accelerating Metropolis-within-Gibbs sampler with localized computations of differential equations. Stat. Comput. 30(4): 1037-1056 (2020) - [j7]Neil K. Chada, Andrew M. Stuart, Xin T. Tong:
Tikhonov Regularization within Ensemble Kalman Inversion. SIAM J. Numer. Anal. 58(2): 1263-1294 (2020) - [j6]Xin T. Tong, Matthias Morzfeld, Youssef M. Marzouk:
MALA-within-Gibbs Samplers for High-Dimensional Distributions with Sparse Conditional Structure. SIAM J. Sci. Comput. 42(3): A1765-A1788 (2020) - [i4]Xi Chen, Qiang Liu, Xin T. Tong:
Dimension Independent Generalization Error with Regularized Online Optimization. CoRR abs/2003.11196 (2020) - [i3]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)
2010 – 2019
- 2019
- [j5]Matthias Morzfeld, Xin T. Tong, Youssef M. Marzouk:
Localization for MCMC: sampling high-dimensional posterior distributions with local structure. J. Comput. Phys. 380: 1-28 (2019) - [i2]Xi Chen, Simon S. Du, Xin T. Tong:
Hitting Time of Stochastic Gradient Langevin Dynamics to Stationary Points: A Direct Analysis. CoRR abs/1904.13016 (2019) - [i1]Neil K. Chada, Xin T. Tong:
Convergence Acceleration of Ensemble Kalman Inversion in Nonlinear Settings. CoRR abs/1911.02424 (2019) - 2018
- [j4]Xin T. Tong:
Performance Analysis of Local Ensemble Kalman Filter. J. Nonlinear Sci. 28(4): 1397-1442 (2018) - [j3]Nan Chen, Andrew J. Majda, Xin T. Tong:
Rigorous Analysis for Efficient Statistically Accurate Algorithms for Solving Fokker-Planck Equations in Large Dimensions. SIAM/ASA J. Uncertain. Quantification 6(3): 1198-1223 (2018) - 2016
- [j2]Andrew J. Majda, Xin T. Tong:
Ergodicity of Truncated Stochastic Navier Stokes with Deterministic Forcing and Dispersion. J. Nonlinear Sci. 26(5): 1483-1506 (2016) - 2015
- [j1]Nan Chen, Andrew J. Majda, Xin T. Tong:
Noisy Lagrangian Tracers for Filtering Random Rotating Compressible Flows. J. Nonlinear Sci. 25(3): 451-488 (2015)
Coauthor Index
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