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0111 · May 201419922001200920182026
2 results for delta-PAC

New algorithms minimize cost while identifying the best alternative quickly.

problem Balancing cost minimization and best arm identification in online learning.
method Developed algorithms that are delta-PAC and minimize regret, providing theoretical guarantees.
result Proved algorithms that balance cost and decision time, improving A/B testing.

A/B testing refers to the task of determining the best option among two alternatives that yield random outcomes. We provide distribution-dependent lower bounds for the performance of A/B testing that improve over the results currently available both in the fixed-confidence (or delta-PAC) and fixed-budget settings. When…

2014-05-13abs ↗pdf ↗