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Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games


Dec 29, 2022
Chun Kai Ling, J. Zico Kolter, Fei Fang

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* To appear in AAAI 2023 

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Safe Subgame Resolving for Extensive Form Correlated Equilibrium


Dec 29, 2022
Chun Kai Ling, Fei Fang

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* Proceedings of the AAAI Conference on Artificial Intelligence, 36(5), 5116-5123 (2022) 

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Neighborhood Adaptive Estimators for Causal Inference under Network Interference


Dec 07, 2022
Alexandre Belloni, Fei Fang, Alexander Volfovsky

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Explainable Action Advising for Multi-Agent Reinforcement Learning


Nov 15, 2022
Yue Guo, Joseph Campbell, Simon Stepputtis, Ruiyu Li, Dana Hughes, Fei Fang, Katia Sycara

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Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation


Oct 18, 2022
Peide Huang, Mengdi Xu, Jiacheng Zhu, Laixi Shi, Fei Fang, Ding Zhao

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* 36th Conference on Neural Information Processing Systems (NeurIPS 2022) 

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Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation


Aug 24, 2022
Yuanliang Zhang, Xiaofeng Wang, Jinxin Hu, Ke Gao, Chenyi Lei, Fei Fang

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* Accepted by CIKM 2022 

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Continual Transfer Learning for Cross-Domain Click-Through Rate Prediction at Taobao


Aug 11, 2022
Lixin Liu, Yanling Wang, Tianming Wang, Dong Guan, Jiawei Wu, Jingxu Chen, Rong Xiao, Wenxiang Zhu, Fei Fang

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* 10 pages 

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Tradeoffs in Preventing Manipulation in Paper Bidding for Reviewer Assignment


Jul 22, 2022
Steven Jecmen, Nihar B. Shah, Fei Fang, Vincent Conitzer

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A Dataset on Malicious Paper Bidding in Peer Review


Jun 24, 2022
Steven Jecmen, Minji Yoon, Vincent Conitzer, Nihar B. Shah, Fei Fang

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The Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality


Jun 23, 2022
Rex Chen, Fei Fang, Norman Sadeh

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* 26 pages; accepted version, with shortened version to be published at the 12th International Workshop on Agents in Traffic and Transportation (ATT '22) at IJCAI 2022 

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