The paper derives sharp asymptotic formulas for post-bandit sample-mean bias under UCB-type index algorithms, showing that for non-unique optimal arms the standardized bias decays only as 1/sqrt(log T) for UCB1.
Advances in neural information processing systems , volume=
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Characterizing Bias in Post-Bandit Inference under Index Algorithms
The paper derives sharp asymptotic formulas for post-bandit sample-mean bias under UCB-type index algorithms, showing that for non-unique optimal arms the standardized bias decays only as 1/sqrt(log T) for UCB1.