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Causality-Based Multivariate Time Series Anomaly Detection



Wenzhuo Yang , Kun Zhang , Steven C. H. Hoi

* 10 pages, 5 figures 

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On the Identifiability of Nonlinear ICA: Sparsity and Beyond



Yujia Zheng , Ignavier Ng , Kun Zhang


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Causal Balancing for Domain Generalization



Xinyi Wang , Michael Saxon , Jiachen Li , Hongyang Zhang , Kun Zhang , William Yang Wang

* 16 pages, 3 figures, 4 tables 

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What-Is and How-To for Fairness in Machine Learning: A Survey, Reflection, and Perspective



Zeyu Tang , Jiji Zhang , Kun Zhang


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Offline Reinforcement Learning with Causal Structured World Models



Zheng-Mao Zhu , Xiong-Hui Chen , Hong-Long Tian , Kun Zhang , Yang Yu


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Counterfactual Fairness with Partially Known Causal Graph



Aoqi Zuo , Susan Wei , Tongliang Liu , Bo Han , Kun Zhang , Mingming Gong


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MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models



Erdun Gao , Ignavier Ng , Mingming Gong , Li Shen , Wei Huang , Tongliang Liu , Kun Zhang , Howard Bondell


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Calibration Matters: Tackling Maximization Bias in Large-scale Advertising Recommendation Systems



Yewen Fan , Nian Si , Kun Zhang


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Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification



Kai Zhang , Qi Liu , Zhenya Huang , Mingyue Cheng , Kun Zhang , Mengdi Zhang , Wei Wu , Enhong Chen

* 11 pages, 7 figures, Sigir 2022 

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A Review-aware Graph Contrastive Learning Framework for Recommendation



Jie Shuai , Kun Zhang , Le Wu , Peijie Sun , Richang Hong , Meng Wang , Yong Li

* Accepted by SIGIR 2022 

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