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Renyuan Xu
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2020 – today
- 2024
- [j9]José H. Blanchet
, Renyuan Xu
Delay-Adaptive Learning in Generalized Linear Contextual Bandits. Math. Oper. Res. 49(1): 326-345 (2024) - [c5]Yinbin Han, Meisam Razaviyayn, Renyuan Xu:
Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization. ICLR 2024 - [i19]Yinbin Han, Meisam Razaviyayn, Renyuan Xu:
Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization. CoRR abs/2401.15604 (2024) - [i18]Haoyang Cao, Zhengqi Wu, Renyuan Xu:
Inference of Utilities and Time Preference in Sequential Decision-Making. CoRR abs/2405.15975 (2024) - [i17]Jodi Dianetti, Giorgio Ferrari, Renyuan Xu:
Exploratory Optimal Stopping: A Singular Control Formulation. CoRR abs/2408.09335 (2024) - [i16]Adel Javanmard, Jingwei Ji, Renyuan Xu:
Multi-Task Dynamic Pricing in Credit Market with Contextual Information. CoRR abs/2410.14839 (2024) - 2023
- [j8]Haotian Gu
Dynamic Programming Principles for Mean-Field Controls with Learning. Oper. Res. 71(4): 1040-1054 (2023) - [j7]Ben M. Hambly, Renyuan Xu, Huining Yang:
Policy Gradient Methods Find the Nash Equilibrium in N-player General-sum Linear-quadratic Games. J. Mach. Learn. Res. 24: 139:1-139:56 (2023) - [j6]Xin Guo
A General Framework for Learning Mean-Field Games. Math. Oper. Res. 48(2): 656-686 (2023) - [i15]Yinbin Han, Meisam Razaviyayn, Renyuan Xu:
Policy Gradient Converges to the Globally Optimal Policy for Nearly Linear-Quadratic Regulators. CoRR abs/2303.08431 (2023) - [i14]Zhengqi Wu, Renyuan Xu:
Risk-sensitive Markov Decision Process and Learning under General Utility Functions. CoRR abs/2311.13589 (2023) - [i13]Xin Guo, Xinyu Li, Renyuan Xu:
Fast Policy Learning for Linear Quadratic Regulator with Entropy Regularization. CoRR abs/2311.14168 (2023) - 2022
- [j5]Xin Guo
Entropy Regularization for Mean Field Games with Learning. Math. Oper. Res. 47(4): 3239-3260 (2022) - [j4]Xin Guo, Wenpin Tang
A Class of Stochastic Games and Moving Free Boundary Problems. SIAM J. Control. Optim. 60(2): 758-785 (2022) - [c4]Jingwei Ji, Renyuan Xu, Ruihao Zhu:
Risk-Aware Linear Bandits with Application in Smart Order Routing. ICAIF 2022: 334-342 - [e1]Daniele Magazzeni, Senthil Kumar, Rahul Savani, Renyuan Xu, Carmine Ventre, Blanka Horvath, Ruimeng Hu, Tucker Balch, Francesca Toni:
3rd ACM International Conference on AI in Finance, ICAIF 2022, New York, NY, USA, November 2-4, 2022. ACM 2022, ISBN 978-1-4503-9376-8 [contents] - [i12]Rama Cont, Alain Rossier, Renyuan Xu:
Convergence and Implicit Regularization Properties of Gradient Descent for Deep Residual Networks. CoRR abs/2204.07261 (2022) - [i11]Jingwei Ji, Renyuan Xu, Ruihao Zhu:
Risk-Aware Linear Bandits: Theory and Applications in Smart Order Routing. CoRR abs/2208.02389 (2022) - [i10]Rama Cont, Alain Rossier, Renyuan Xu:
Asymptotic Analysis of Deep Residual Networks. CoRR abs/2212.08199 (2022) - 2021
- [j3]Ben M. Hambly, Renyuan Xu
Policy Gradient Methods for the Noisy Linear Quadratic Regulator over a Finite Horizon. SIAM J. Control. Optim. 59(5): 3359-3391 (2021) - [j2]Haotian Gu, Xin Guo, Xiaoli Wei
Mean-Field Controls with Q-Learning for Cooperative MARL: Convergence and Complexity Analysis. SIAM J. Math. Data Sci. 3(4): 1168-1196 (2021) - [c3]Alain-Sam Cohen, Rama Cont, Alain Rossier, Renyuan Xu:
Scaling Properties of Deep Residual Networks. ICML 2021: 2039-2048 - [i9]Alain-Sam Cohen, Rama Cont, Alain Rossier, Renyuan Xu:
Scaling Properties of Deep Residual Networks. CoRR abs/2105.12245 (2021) - [i8]Ben M. Hambly, Renyuan Xu, Huining Yang:
Policy Gradient Methods Find the Nash Equilibrium in N-player General-sum Linear-quadratic Games. CoRR abs/2107.13090 (2021) - [i7]Haotian Gu, Xin Guo, Xiaoli Wei, Renyuan Xu:
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach. CoRR abs/2108.02731 (2021) - [i6]Ben M. Hambly, Renyuan Xu, Huining Yang:
Recent Advances in Reinforcement Learning in Finance. CoRR abs/2112.04553 (2021) - 2020
- [i5]Haotian Gu, Xin Guo, Xiaoli Wei, Renyuan Xu:
Q-Learning for Mean-Field Controls. CoRR abs/2002.04131 (2020) - [i4]Jose H. Blanchet, Renyuan Xu, Zhengyuan Zhou:
Delay-Adaptive Learning in Generalized Linear Contextual Bandits. CoRR abs/2003.05174 (2020) - [i3]Xin Guo, Anran Hu, Renyuan Xu, Junzi Zhang:
A General Framework for Learning Mean-Field Games. CoRR abs/2003.06069 (2020) - [i2]Xin Guo, Renyuan Xu, Thaleia Zariphopoulou:
Entropy Regularization for Mean Field Games with Learning. CoRR abs/2010.00145 (2020) - [i1]Ben M. Hambly, Renyuan Xu, Huining Yang:
Policy Gradient Methods for the Noisy Linear Quadratic Regulator over a Finite Horizon. CoRR abs/2011.10300 (2020)
2010 – 2019
- 2019
- [j1]Xin Guo, Renyuan Xu:
Stochastic Games for Fuel Follower Problem: N versus Mean Field Game. SIAM J. Control. Optim. 57(1): 659-692 (2019) - [c2]Xin Guo, Anran Hu, Renyuan Xu, Junzi Zhang:
Learning Mean-Field Games. NeurIPS 2019: 4967-4977 - [c1]Zhengyuan Zhou, Renyuan Xu, Jose H. Blanchet:
Learning in Generalized Linear Contextual Bandits with Stochastic Delays. NeurIPS 2019: 5198-5209
Coauthor Index
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