Research map / Bandits and online learning / Contextual bandits and Thompson sampling
Post-Contextual-Bandit Inference
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use CADR stabilized estimator instead of DM, IPW, DR, ADR, MRDR for confidence intervals | off-policy value inference from contextual bandit data · 57 OpenML-CC18 datasets, 4 target policies | 95% CI coverage | Helped |
| fit outcome model with linear regression versus other settings for CADR comparison | CADR · 57 OpenML-CC18 datasets | 95% CI coverage | Helped |
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