Xin Guo - RankMe

62 papers A* 3A 1B 1Misc 1Journal 55Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fast Policy Learning for Linear-Quadratic Control with Entropy Regularization. SIAM J. Control. Optim. Xin Guo, Xinyu Li, Renyuan Xu
2026	J	`jnl`	Markov $\alpha$-Potential Games. IEEE Trans. Autom. Control. Xin Guo, Xinyu Li, Chinmay Maheshwari, S. Shankar Sastry, Manxi Wu
2025	J	`jnl`	An ${\alpha }$-Potential Game Framework for $ {N}$-Player Dynamic Games. SIAM J. Control. Optim. Xin Guo, Xinyu Li, Yufei Zhang
2025	J	`jnl`	Mean-Field Multiagent Reinforcement Learning: A Decentralized Network Approach. Math. Oper. Res. Haotian Gu, Xin Guo, Xiaoli Wei, Renyuan Xu
2025	J	`jnl`	Towards an Analytical Framework for Dynamic Potential Games. SIAM J. Control. Optim. Xin Guo, Yufei Zhang
2025	J	`jnl`	Transportation Marketplace Rate Forecast Using Signature Transform. INFORMS J. Appl. Anal. Haotian Gu, Xin Guo, Timothy L. Jacobs, Philip M. Kaminsky, Xinyu Li
2024	J	`jnl`	Connecting GANs, Mean-Field Games, and Optimal Transport. SIAM J. Appl. Math. Haoyang Cao, Xin Guo, Mathieu Laurière
2024	J	`jnl`	MF-OMO: An Optimization Formulation of Mean-Field Games. SIAM J. Control. Optim. Xin Guo, Anran Hu, Junzi Zhang
2024	J	`jnl`	Stochastic differential equation approximations of generative adversarial network training and its long-run behavior. J. Appl. Probab. Haoyang Cao, Xin Guo
2024	J	`jnl`	Transportation Market Rate Forecast Using Signature Transform. CoRR Haotian Gu, Timothy L. Jacobs, Philip M. Kaminsky, Xin Guo, Xinyu Li
2024	A*	`conf`	Transportation Marketplace Rate Forecast Using Signature Transform. KDD Haotian Gu, Xin Guo, Timothy L. Jacobs, Philip M. Kaminsky, Xinyu Li
2023	J	`jnl`	A General Framework for Learning Mean-Field Games. Math. Oper. Res. Xin Guo, Anran Hu, Renyuan Xu, Junzi Zhang
2023	J	`jnl`	Dynamic Programming Principles for Mean-Field Controls with Learning. Oper. Res. Haotian Gu, Xin Guo, Xiaoli Wei, Renyuan Xu
2023	J	`jnl`	Fast Policy Learning for Linear Quadratic Regulator with Entropy Regularization. CoRR Xin Guo, Xinyu Li, Renyuan Xu
2023	J	`jnl`	Feasibility and Transferability of Transfer Learning: A Mathematical Framework. CoRR Haoyang Cao, Haotian Gu, Xin Guo, Mathieu Rosenbaum
2023	J	`jnl`	Feasibility of Transfer Learning: A Mathematical Framework. CoRR Haoyang Cao, Haotian Gu, Xin Guo
2023	J	`jnl`	MESOB: Balancing Equilibria & Social Optimality. CoRR Xin Guo, Lihong Li, Sareh Nabi, Rabih Salhab, Junzi Zhang
2023	J	`jnl`	MFGLib: A Library for Mean-Field Games. CoRR Xin Guo, Anran Hu, Matteo Santamaria, Mahan Tajrobehkar, Junzi Zhang
2023	J	`jnl`	Markov α-Potential Games: Equilibrium Approximation and Regret Analysis. CoRR Xin Guo, Xinyu Li, Chinmay Maheshwari, Shankar Sastry, Manxi Wu
2023	J	`jnl`	Reinforcement Learning for Linear-Convex Models with Jumps via Stability Analysis of Feedback Controls. SIAM J. Control. Optim. Xin Guo, Anran Hu, Yufei Zhang
2023	J	`jnl`	Risk of Transfer Learning and its Applications in Finance. CoRR Haoyang Cao, Haotian Gu, Xin Guo, Mathieu Rosenbaum
2023	J	`jnl`	Towards An Analytical Framework for Potential Games. CoRR Xin Guo, Yufei Zhang
2023	J	`jnl`	Transfer Learning for Portfolio Optimization. CoRR Haoyang Cao, Haotian Gu, Xin Guo, Mathieu Rosenbaum
2022	J	`jnl`	A Class of Stochastic Games and Moving Free Boundary Problems. SIAM J. Control. Optim. Xin Guo, Wenpin Tang, Renyuan Xu
2022	J	`jnl`	Entropy Regularization for Mean Field Games with Learning. Math. Oper. Res. Xin Guo, Renyuan Xu, Thaleia Zariphopoulou
2022	J	`jnl`	Logarithmic Regret for Episodic Continuous-Time Linear-Quadratic Reinforcement Learning over a Finite-Time Horizon. J. Mach. Learn. Res. Matteo Basei, Xin Guo, Anran Hu, Yufei Zhang
2022	J	`jnl`	MF-OMO: An Optimization Formulation of Mean-Field Games. CoRR Xin Guo, Anran Hu, Junzi Zhang
2022	J	`jnl`	Meta-learning with GANs for anomaly detection, with deployment in high-speed rail inspection system. CoRR Haoyang Cao, Xin Guo, Guan Wang
2022	J	`jnl`	Nonzero-Sum Stochastic Games and Mean-Field Games with Impulse Controls. Math. Oper. Res. Matteo Basei, Haoyang Cao, Xin Guo
2022	A*	`conf`	Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods. AAAI Xin Guo, Anran Hu, Junzi Zhang
2021	J	`jnl`	An SDE Framework for Adversarial Training, with Convergence and Robustness Analysis. CoRR Haotian Gu, Xin Guo
2021	J	`jnl`	Generative Adversarial Network: Some Analytical Perspectives. CoRR Haoyang Cao, Xin Guo
2021	J	`jnl`	Mean-Field Controls with Q-Learning for Cooperative MARL: Convergence and Complexity Analysis. SIAM J. Math. Data Sci. Haotian Gu, Xin Guo, Xiaoli Wei, Renyuan Xu
2021	J	`jnl`	Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach. CoRR Haotian Gu, Xin Guo, Xiaoli Wei, Renyuan Xu
2021	J	`jnl`	Reinforcement learning for linear-convex models with jumps via stability analysis of feedback controls. CoRR Xin Guo, Anran Hu, Yufei Zhang
2021	Misc	`conf`	Relaxed Wasserstein with Applications to GANs. ICASSP Xin Guo, Johnny Hong, Tianyi Lin, Nan Yang
2021	J	`jnl`	Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods. CoRR Xin Guo, Anran Hu, Junzi Zhang
2020	J	`jnl`	A General Framework for Learning Mean-Field Games. CoRR Xin Guo, Anran Hu, Renyuan Xu, Junzi Zhang
2020	J	`jnl`	Approximation and convergence of GANs training: an SDE approach. CoRR Haoyang Cao, Xin Guo
2020	J	`jnl`	Connecting GANs and MFGs. CoRR Haoyang Cao, Xin Guo, Mathieu Laurière
2020	J	`jnl`	Entropy Regularization for Mean Field Games with Learning. CoRR Xin Guo, Renyuan Xu, Thaleia Zariphopoulou
2020	J	`jnl`	Logarithmic regret for episodic continuous-time linear-quadratic reinforcement learning over a finite-time horizon. CoRR Matteo Basei, Xin Guo, Anran Hu, Yufei Zhang
2020	J	`jnl`	Q-Learning for Mean-Field Controls. CoRR Haotian Gu, Xin Guo, Xiaoli Wei, Renyuan Xu
2019	A*	`conf`	Learning Mean-Field Games. NeurIPS Xin Guo, Anran Hu, Renyuan Xu, Junzi Zhang
2019	A	`conf`	Sparsemax and Relaxed Wasserstein for Topic Sparsity. WSDM Tianyi Lin, Zhiyue Hu, Xin Guo
2019	J	`jnl`	Stochastic Games for Fuel Follower Problem: N versus Mean Field Game. SIAM J. Control. Optim. Xin Guo, Renyuan Xu
2018	J	`jnl`	Sparsemax and Relaxed Wasserstein for Topic Sparsity. CoRR Tianyi Lin, Zhiyue Hu, Xin Guo
2017	J	`jnl`	Ambiguity set and learning via Bregman and Wasserstein. CoRR Xin Guo, Johnny Hong, Nan Yang
2017	J	`jnl`	Relaxed Wasserstein with Applications to GANs. CoRR Xin Guo, Johnny Hong, Tianyi Lin, Nan Yang
2011	J	`jnl`	Optimal spot market inventory strategies in the presence of cost and price risk. Math. Methods Oper. Res. Xin Guo, Philip M. Kaminsky, Pascal I. Tomecek, M. Yuen
2010	J	`jnl`	Impulse Control of Multidimensional Jump Diffusions. SIAM J. Control. Optim. Mark H. A. Davis, Xin Guo, Guoliang Wu
2009	J	`jnl`	A Class of Singular Control Problems and the Smooth Fit Principle. SIAM J. Control. Optim. Xin Guo, Pascal I. Tomecek
2009	J	`jnl`	Credit Risk Models with Incomplete Information. Math. Oper. Res. Xin Guo, Robert A. Jarrow, Yan Zeng
2009	J	`jnl`	Smooth Fit Principle for Impulse Control of Multidimensional Diffusion Processes. SIAM J. Control. Optim. Xin Guo, Guoliang Wu
2008	—	`conf`	Connecting singular control with optimal switching. CDC Xin Guo, Pascal I. Tomecek
2008	J	`jnl`	Connections between Singular Control and Optimal Switching. SIAM J. Control. Optim. Xin Guo, Pascal I. Tomecek
2005	J	`jnl`	Irreversible investment with regime shifts. J. Econ. Theory Xin Guo, Jianjun Miao, Erwan Morellec
2005	J	`jnl`	On the optimality of conditional expectation as a Bregman predictor. IEEE Trans. Inf. Theory Arindam Banerjee, Xin Guo, Hui Wang
2005	J	`jnl`	Optimal selling rules in a regime switching model. IEEE Trans. Autom. Control. Xin Guo, Qing Zhang
2004	J	`jnl`	Closed-Form Solutions for Perpetual American Put Options with Regime Switching. SIAM J. Appl. Math. Qing Zhang, Xin Guo
2004	B	`conf`	Optimal Bregman prediction and Jensen's equality. ISIT Arindam Banerjee, Xin Guo, Hui Wang
2004	J	`jnl`	Optimal probabilistic routing in distributed parallel queues. SIGMETRICS Perform. Evaluation Rev. Xin Guo, Yingdong Lu, Mark S. Squillante