2 papers
stat.ML2025
Off-Policy Evaluation of Ranking Policies via Embedding-Space User Behavior Modeling
Tatsuki Takahashi, Chihiro Maru, Hiroko Shoji
Off-policy evaluation (OPE) in ranking settings with large ranking action spaces, which stems from an increase in both the number of unique actions and length of the ranking, is es…
stat.ML2025
Off-Policy Evaluation for Recommendations with Missing-Not-At-Random Rewards
Tatsuki Takahashi, Chihiro Maru, Hiroko Shoji
Unbiased recommender learning (URL) and off-policy evaluation/learning (OPE/L) techniques are effective in addressing the data bias caused by display position and logging policies,…