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2020 – today
- 2024
[i7]Yingjie Fei, Ruitu Xu:
Taming Equilibrium Bias in Risk-Sensitive Multi-Agent Reinforcement Learning. CoRR abs/2405.02724 (2024)- 2023
- [c6]Ruitu Xu, Yifei Min, Tianhao Wang, Michael I. Jordan, Zhaoran Wang, Zhuoran Yang:
Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models via Reinforcement Learning. AISTATS 2023: 375-407 - [c5]Ruitu Xu, Yifei Min, Tianhao Wang:
Noise-Adaptive Thompson Sampling for Linear Contextual Bandits. NeurIPS 2023 - [i6]Ruitu Xu, Yifei Min, Tianhao Wang, Zhaoran Wang, Michael I. Jordan, Zhuoran Yang:
Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models with Reinforcement Learning. CoRR abs/2303.04833 (2023) - 2022
- [c4]Yingjie Fei, Ruitu Xu:
Cascaded Gaps: Towards Logarithmic Regret for Risk-Sensitive Reinforcement Learning. ICML 2022: 6392-6417 - [c3]Yifei Min, Tianhao Wang, Ruitu Xu, Zhaoran Wang, Michael I. Jordan, Zhuoran Yang:
Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets. NeurIPS 2022 - [i5]Yingjie Fei, Ruitu Xu:
Cascaded Gaps: Towards Gap-Dependent Regret for Risk-Sensitive Reinforcement Learning. CoRR abs/2203.03110 (2022) - [i4]Yifei Min, Tianhao Wang, Ruitu Xu, Zhaoran Wang, Michael I. Jordan, Zhuoran Yang:
Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets. CoRR abs/2203.03684 (2022) - 2021
- [c2]Ruitu Xu, Lin Chen, Amin Karbasi:
Meta Learning in the Continuous Time Limit. AISTATS 2021: 3052-3060 - [c1]Ganlin Song, Ruitu Xu, John Lafferty:
Convergence and Alignment of Gradient Descent with Random Backpropagation Weights. NeurIPS 2021: 19888-19898 - [i3]Ganlin Song, Ruitu Xu, John Lafferty:
Convergence and Alignment of Gradient Descentwith Random Back propagation Weights. CoRR abs/2106.06044 (2021) - 2020
- [i2]Ruitu Xu, Lin Chen, Amin Karbasi:
Meta Learning in the Continuous Time Limit. CoRR abs/2006.10921 (2020)
2010 – 2019
- 2019
- [j1]Shuyang Ling, Ruitu Xu, Afonso S. Bandeira:
On the Landscape of Synchronization Networks: A Perspective from Nonconvex Optimization. SIAM J. Optim. 29(3): 1879-1907 (2019) - 2017
- [i1]Chen Li, Luca Venturi, Ruitu Xu:
Learning the Kernel for Classification and Regression. CoRR abs/1712.08597 (2017)
Coauthor Index
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