Xin T. Tong

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 23

Top Topics

Driven Learning

Inverse Problems

Stochastic Gradient

Top Venues

J. Nonlinear Sci.

J. Mach. Learn. Res.

SIAM/ASA J. Uncertain. Quantification

Publications

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)
Simon Weissmann, Neil K. Chada, Xin T. Tong
The Ensemble Kalman Filter for Dynamic Inverse Problems. CoRR (2024)
Jiangze Han, Christopher Thomas Ryan, Xin T. Tong
Wasserstein gradient flow for optimal probability measure decomposition. CoRR (2024)
Shuigen Liu, Sebastian Reich, Xin T. Tong
Dropout Ensemble Kalman inversion for high dimensional inverse problems. CoRR (2023)
Xin T. Tong, Matthias Morzfeld
Localization in Ensemble Kalman inversion. CoRR (2022)
Ruqi Zhang, Qiang Liu, Xin T. Tong
Sampling in Constrained Domains with Orthogonal-Space Variational Gradient Descent. CoRR (2022)
Yi Chen, Jing Dong, Xin T. Tong
Can We Do Better Than Random Start? The Power of Data Outsourcing. CoRR (2022)
Neil K. Chada, Xin T. Tong
Convergence acceleration of ensemble Kalman inversion in nonlinear settings. Math. Comput. 91 (335) (2022)
Jing Dong, Xin T. Tong
Stochastic Gradient Descent with Dependent Data for Offline Reinforcement Learning. CoRR (2022)
Simon Weissmann, Neil K. Chada, Claudia Schillings, Xin T. Tong
Adaptive Tikhonov strategies for stochastic ensemble Kalman inversion. CoRR (2021)
Jing Dong, Xin T. Tong
Replica Exchange for Non-Convex Optimization. J. Mach. Learn. Res. 22 (2021)
Qiang Liu, Xin T. Tong
Accelerating Metropolis-within-Gibbs sampler with localized computations of differential equations. Stat. Comput. 30 (4) (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, Claudia Schillings, Xin T. Tong, Simon Weissmann
Consistency analysis of bilevel data-driven learning in inverse problems. CoRR (2020)
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 (2020)
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) (2020)
Xi Chen, Qiang Liu, Xin T. Tong
Dimension Independent Generalization Error with Regularized Online Optimization. CoRR (2020)
Matthias Morzfeld, Xin T. Tong, Youssef M. Marzouk
Localization for MCMC: sampling high-dimensional posterior distributions with local structure. J. Comput. Phys. 380 (2019)
Xi Chen, Simon S. Du, Xin T. Tong
Hitting Time of Stochastic Gradient Langevin Dynamics to Stationary Points: A Direct Analysis. CoRR (2019)
Neil K. Chada, Xin T. Tong
Convergence Acceleration of Ensemble Kalman Inversion in Nonlinear Settings. CoRR (2019)
Xin T. Tong
Performance Analysis of Local Ensemble Kalman Filter. J. Nonlinear Sci. 28 (4) (2018)
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) (2018)
Andrew J. Majda, Xin T. Tong
Ergodicity of Truncated Stochastic Navier Stokes with Deterministic Forcing and Dispersion. J. Nonlinear Sci. 26 (5) (2016)
Nan Chen, Andrew J. Majda, Xin T. Tong
Noisy Lagrangian Tracers for Filtering Random Rotating Compressible Flows. J. Nonlinear Sci. 25 (3) (2015)