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个人简介
Professor Komiyama’s research interests lie in machine learning methodology and its application to business processes. His interests include decision making models such as the multi-armed bandit problem, designing experiments, analyzing algorithmic bias such as fairness in machine learning models and guaranteeing reproducibility of scientific findings. He is interested in re-thinking how we define findings with data science methods. His work has been presented in machine learning and data mining conferences such as Neural Information Processing Systems (NeurIPS) and Knowledge Discovery and Data Mining (KDD).
研究兴趣
论文共 45 篇作者统计合作学者相似作者
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CoRR (2024)
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CoRR (2024)
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Management Science (2024)
AISTATSpp.10994-11022, (2023)
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AISTATSpp.6968-7020, (2023)
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MATHEMATICS OF OPERATIONS RESEARCH (2023)
CoRR (2023)
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