Wei-Wei Du — accepted AI-conference papers

2026

Off-Policy Evaluation for Ranking Policies under Deterministic Logging Policies

Koichi Tanaka, Kazuki Kawamura, Takanori Muroi, Yusuke Narita, Yuki Sasamoto, Kei Tateno +3

ICLR 2026poster

Off-Policy Evaluation (OPE) is an important practical problem in algorithmic ranking systems, where the goal is to estimate the expected performance of a new ranking policy using only offline logged data collected under a different, logging policy. Existing estimators, such as the ranking-wise and p…

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2024

Benchmarking Stroke Forecasting with Stroke-Level Badminton Dataset

Wei-Yao Wang, Wei-Wei Du, Wen-Chih Peng, Tsi-Ui Ik

IJCAI 2024poster

In recent years, badminton analytics has drawn attention due to the advancement of artificial intelligence and the efficiency of data collection. While there is a line of effective applications to improve and investigate player performance, there are only a few public badminton datasets that can be…

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