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cs.LG2025
Learning from Double Positive and Unlabeled Data for Potential-Customer Identification
Masahiro Kato, Yuki Ikeda, Kentaro Baba +2
In this study, we propose a method for identifying potential customers in targeted marketing by applying learning from positive and unlabeled data (PU learning). We consider a scen…
cs.LG2024
Mean-Variance Efficient Reinforcement Learning with Applications to Dynamic Financial Investment
Masahiro Kato, Kei Nakagawa, Kenshi Abe +2
This study investigates the mean-variance (MV) trade-off in reinforcement learning (RL), an instance of the sequential decision-making under uncertainty. Our objective is to obtain…