Publications

Journal Papers

2023

  1. Learning state importance for preference-based reinforcement learning
    Guoxi Zhang and Hisashi Kashima
    Machine Learning, 2023

2022

  1. Machine Learning in Materials Chemistry: An Invitation
    Daniel Packwood, Linh Thi Hoai Nguyen, Pierluigi Cesana, Guoxi Zhang, Aleksandar Staykov, Yasuhide Fukumoto, and Dinh Hoa Nguyen
    Machine Learning with Applications, 2022

Conference Papers

2024

  1. Treatment Effect Estimation Under Unknown Interference
    Xiaofeng Lin, Guoxi Zhang, Xiaotian Lu, and Hisashi Kashima
    In Advances in Knowledge Discovery and Data Mining (To Appear), 2024

2023

  1. Batch Reinforcement Learning from Crowds
    Guoxi Zhang and Hisashi Kashima
    In Machine Learning and Knowledge Discovery in Databases, 2023
  2. On Modeling Long-Term User Engagement from Stochastic Feedback
    Guoxi Zhang, Xing Yao, and Xuanji Xiao
    In Companion Proceedings of the ACM Web Conference 2023, 2023
  3. Behavior Estimation from Multi-Source Data for Offline Reinforcement Learning
    Guoxi Zhang and Hisashi Kashima
    In Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
  4. Estimating Treatment Effects Under Heterogeneous Interference
    Xiaofeng Lin, Guoxi Zhang, Xiaotian Lu, Han Bao, Koh Takeuchi, and Hisashi Kashima
    In Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

2022

  1. Improving Pairwise Rank Aggregation via Querying for Rank Difference
    Guoxi Zhang, Jiyi Li, and Hisashi Kashima
    In Proceedings of the Ninth IEEE International Conference on Data Science and Advanced Analytics, 2022

2018

  1. On Reducing Dimensionality of Labeled Data Efficiently
    Guoxi Zhang, Tomoharu Iwata, and Hisashi Kashima
    In Advances in Knowledge Discovery and Data Mining, 2018

2017

  1. Robust Multi-view Topic Modeling by Incorporating Detecting Anomalies
    Guoxi Zhang, Tomoharu Iwata, and Hisashi Kashima
    In Machine Learning and Knowledge Discovery in Databases, 2017