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• Open Bandit Dataset and Pipeline: Towards Realistic and Reproducible Off-Policy Evaluation
  2020 · 5 citations
• Optimal Off-Policy Evaluation from Multiple Logging Policies
  2020 · 2 citations
• Accelerating Offline Reinforcement Learning Application in Real-Time Bidding and Recommendation: Potential Use of Simulation
  2021 · 2 citations
• Data-Driven Off-Policy Estimator Selection: An Application in User Marketing on An Online Content Delivery Service
  2021 · 1 citations
• Offline Contextual Bandits in the Presence of New Actions
  2026
• Off-Policy Learning with Limited Supply
  2026
• Off-Policy Evaluation and Learning for Survival Outcomes under Censoring
  2026
• A General Framework for Off-Policy Learning with Partially-Observed Reward
  2025
• Off-Policy Evaluation and Learning for the Future under Non-Stationarity
  2025
• SCOPE-RL: A Python Library for Offline Reinforcement Learning and Off-Policy Evaluation
  2023
• Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation
  2023
• Off-Policy Evaluation of Slate Bandit Policies via Optimizing Abstraction
  2024
• Long-term Off-Policy Evaluation and Learning
  2024