Xin T. Tong

According to our database, Xin T. Tong authored at least 23 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Wasserstein gradient flow for optimal probability measure decomposition.

Jiangze Han, Christopher Thomas Ryan, Xin T. Tong

CoRR, 2024

The Ensemble Kalman Filter for Dynamic Inverse Problems.

Simon Weissmann, Neil K. Chada, Xin T. Tong

CoRR, 2024

The MMO Economist: AI Empowers Robust, Healthy, and Sustainable P2W MMO Economies.

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

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

2023

Dropout Ensemble Kalman inversion for high dimensional inverse problems.

Shuigen Liu, Sebastian Reich, Xin T. Tong

CoRR, 2023

2022

Convergence acceleration of ensemble Kalman inversion in nonlinear settings.

Neil K. Chada, Xin T. Tong

Math. Comput., 2022

Can We Do Better Than Random Start? The Power of Data Outsourcing.

Yi Chen, Jing Dong, Xin T. Tong

CoRR, 2022

Stochastic Gradient Descent with Dependent Data for Offline Reinforcement Learning.

Jing Dong, Xin T. Tong

CoRR, 2022

Localization in Ensemble Kalman inversion.

Xin T. Tong, Matthias Morzfeld

CoRR, 2022

Sampling in Constrained Domains with Orthogonal-Space Variational Gradient Descent.

Ruqi Zhang, Qiang Liu, Xin T. Tong

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Replica Exchange for Non-Convex Optimization.

Jing Dong, Xin T. Tong

J. Mach. Learn. Res., 2021

Adaptive Tikhonov strategies for stochastic ensemble Kalman inversion.

Simon Weissmann, Neil K. Chada, Claudia Schillings, Xin T. Tong

CoRR, 2021

2020

MALA-within-Gibbs Samplers for High-Dimensional Distributions with Sparse Conditional Structure.

Xin T. Tong, Matthias Morzfeld, Youssef M. Marzouk

SIAM J. Sci. Comput., 2020

Tikhonov Regularization within Ensemble Kalman Inversion.

Neil K. Chada, Andrew M. Stuart, Xin T. Tong

SIAM J. Numer. Anal., 2020

Accelerating Metropolis-within-Gibbs sampler with localized computations of differential equations.

Qiang Liu, Xin T. Tong

Stat. Comput., 2020

On Stationary-Point Hitting Time and Ergodicity of Stochastic Gradient Langevin Dynamics.

Xi Chen, Simon S. Du, Xin T. Tong

J. Mach. Learn. Res., 2020

Consistency analysis of bilevel data-driven learning in inverse problems.

Neil K. Chada, Claudia Schillings, Xin T. Tong, Simon Weissmann

CoRR, 2020

Dimension Independent Generalization Error with Regularized Online Optimization.

Xi Chen, Qiang Liu, Xin T. Tong

CoRR, 2020

2019

Localization for MCMC: sampling high-dimensional posterior distributions with local structure.

Matthias Morzfeld, Xin T. Tong, Youssef M. Marzouk

J. Comput. Phys., 2019

Hitting Time of Stochastic Gradient Langevin Dynamics to Stationary Points: A Direct Analysis.

Xi Chen, Simon S. Du, Xin T. Tong

CoRR, 2019

2018

Rigorous Analysis for Efficient Statistically Accurate Algorithms for Solving Fokker-Planck Equations in Large Dimensions.

Nan Chen, Andrew J. Majda, Xin T. Tong

SIAM/ASA J. Uncertain. Quantification, 2018

Performance Analysis of Local Ensemble Kalman Filter.

Xin T. Tong

J. Nonlinear Sci., 2018

2016

Ergodicity of Truncated Stochastic Navier Stokes with Deterministic Forcing and Dispersion.

Andrew J. Majda, Xin T. Tong

J. Nonlinear Sci., 2016

2015

Noisy Lagrangian Tracers for Filtering Random Rotating Compressible Flows.

Nan Chen, Andrew J. Majda, Xin T. Tong

J. Nonlinear Sci., 2015