Offline Policy Evaluation as a decision support tool for designing Adaptive Experiments

arXiv:2609.30273 · cs.LG · Submitted 2026-08-10 · Read on arXiv

cs.LG

Submitted: 2026-08-10

Updated: 2026-08-10

Terminology

• Benchmark — 21× in this paper · explained in 2 episodes
• Regret — 17× in this paper · explained in 3 episodes
• Adaptivity — 8× in this paper · explained in 1 episode
• Doubly Robust — 7× in this paper
• Adaptation — 6× in this paper · explained in 1 episode
• Contextual Bandits — 6× in this paper · explained in 3 episodes
• Benchmarking — 4× in this paper · explained in 3 episodes
• Offline Policy Learning — 4× in this paper
• Robustness — 4× in this paper · explained in 5 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Causal Inference — 3× in this paper · explained in 4 episodes
• Personalization — 3× in this paper · explained in 2 episodes
• Concept Drift — 2× in this paper · explained in 4 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Covariate Shift — 2× in this paper · explained in 2 episodes
• Inverse Propensity Scoring — 2× in this paper
• Open Bandit Pipeline — 2× in this paper
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Action Space — 1× in this paper · explained in 1 episode
• Decision-Support Tool — 1× in this paper · explained in 2 episodes
• Reward Function — 1× in this paper · explained in 2 episodes
• Selection Bias — 1× in this paper · explained in 4 episodes

Sources

• Extending Open Bandit Pipeline to Simulate Industry Challenges
• Demystify Doubly-Robust Estimation: The Role of Overlap

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