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Ruitu Xu
Publication Activity (10 Years)
Years Active: 2017-2024
Publications (10 Years): 14
Top Topics
Back Propagation
Candidate Matches
Reinforcement Learning
Optimality Criterion
Top Venues
CoRR
NeurIPS
AISTATS
SIAM J. Optim.
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Publications
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Yingjie Fei
,
Ruitu Xu
Taming Equilibrium Bias in Risk-Sensitive Multi-Agent Reinforcement Learning.
CoRR
(2024)
Ruitu Xu
,
Yifei Min
,
Tianhao Wang
Noise-Adaptive Thompson Sampling for Linear Contextual Bandits.
NeurIPS
(2023)
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)
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
(2023)
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
(2022)
Yingjie Fei
,
Ruitu Xu
Cascaded Gaps: Towards Gap-Dependent Regret for Risk-Sensitive Reinforcement Learning.
CoRR
(2022)
Yingjie Fei
,
Ruitu Xu
Cascaded Gaps: Towards Logarithmic Regret for Risk-Sensitive Reinforcement Learning.
ICML
(2022)
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)
Ruitu Xu
,
Lin Chen
,
Amin Karbasi
Meta Learning in the Continuous Time Limit.
AISTATS
(2021)
Ganlin Song
,
Ruitu Xu
,
John Lafferty
Convergence and Alignment of Gradient Descentwith Random Back propagation Weights.
CoRR
(2021)
Ganlin Song
,
Ruitu Xu
,
John Lafferty
Convergence and Alignment of Gradient Descent with Random Backpropagation Weights.
NeurIPS
(2021)
Ruitu Xu
,
Lin Chen
,
Amin Karbasi
Meta Learning in the Continuous Time Limit.
CoRR
(2020)
Shuyang Ling
,
Ruitu Xu
,
Afonso S. Bandeira
On the Landscape of Synchronization Networks: A Perspective from Nonconvex Optimization.
SIAM J. Optim.
29 (3) (2019)
Chen Li
,
Luca Venturi
,
Ruitu Xu
Learning the Kernel for Classification and Regression.
CoRR
(2017)