Ruitu Xu

According to our database, Ruitu Xu authored at least 12 papers between 2017 and 2024.

Collaborative distances:

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

2024

Taming Equilibrium Bias in Risk-Sensitive Multi-Agent Reinforcement Learning.

Yingjie Fei, Ruitu Xu

CoRR, 2024

2023

Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models with Reinforcement Learning.

Ruitu Xu, Yifei Min, Tianhao Wang, Zhaoran Wang, Michael I. Jordan, Zhuoran Yang

CoRR, 2023

Noise-Adaptive Thompson Sampling for Linear Contextual Bandits.

Ruitu Xu, Yifei Min, Tianhao Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models via Reinforcement Learning.

Ruitu Xu, Yifei Min, Tianhao Wang, Michael I. Jordan, Zhaoran Wang, Zhuoran Yang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Cascaded Gaps: Towards Gap-Dependent Regret for Risk-Sensitive Reinforcement Learning.

Yingjie Fei, Ruitu Xu

CoRR, 2022

Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets.

Yifei Min, Tianhao Wang, Ruitu Xu, Zhaoran Wang, Michael I. Jordan, Zhuoran Yang

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

Cascaded Gaps: Towards Logarithmic Regret for Risk-Sensitive Reinforcement Learning.

Yingjie Fei, Ruitu Xu

Proceedings of the International Conference on Machine Learning, 2022

2021

Convergence and Alignment of Gradient Descentwith Random Back propagation Weights.

Ganlin Song, Ruitu Xu, John Lafferty

CoRR, 2021

Convergence and Alignment of Gradient Descent with Random Backpropagation Weights.

Ganlin Song, Ruitu Xu, John Lafferty

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Meta Learning in the Continuous Time Limit.

Ruitu Xu, Lin Chen, Amin Karbasi

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2019

On the Landscape of Synchronization Networks: A Perspective from Nonconvex Optimization.

Shuyang Ling, Ruitu Xu, Afonso S. Bandeira

SIAM J. Optim., 2019

2017

Learning the Kernel for Classification and Regression.

Chen Li, Luca Venturi, Ruitu Xu

CoRR, 2017