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Locally Aggregated Feature Attribution on Natural Language Model Understanding



Sheng Zhang , Jin Wang , Haitao Jiang , Rui Song

* NAACL 2022 

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Federated Learning Framework Coping with Hierarchical Heterogeneity in Cooperative ITS



Rui Song , Liguo Zhou , Venkatnarayanan Lakshminarasimhan , Andreas Festag , Alois Knoll


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Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process



Chengchun Shi , Jin Zhu , Ye Shen , Shikai Luo , Hongtu Zhu , Rui Song


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Adaptive Semi-Supervised Inference for Optimal Treatment Decisions with Electronic Medical Record Data



Kevin Gunn , Wenbin Lu , Rui Song


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Safe Exploration for Efficient Policy Evaluation and Comparison



Runzhe Wan , Branislav Kveton , Rui Song


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Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework



Runzhe Wan , Lin Ge , Rui Song


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Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons



Chengchun Shi , Shikai Luo , Hongtu Zhu , Rui Song


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Exploratory Hidden Markov Factor Models for Longitudinal Mobile Health Data: Application to Adverse Posttraumatic Neuropsychiatric Sequelae



Lin Ge , Xinming An , Donglin Zeng , Samuel McLean , Ronald Kessler , Rui Song


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On Learning and Testing of Counterfactual Fairness through Data Preprocessing



Haoyu Chen , Wenbin Lu , Rui Song , Pulak Ghosh


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