Adaptive Self-Consistency: From Black-Box Sampling to Distribution-Valued Feedback
This work describes the asymptotic stopping rate of mode identification with distribution-valued observations exactly and proposes the ASC-D algorithm, a betting stopping rule that attains this asymptotic stopping rate.
Jing-Kai Huang, Yun-Fan Zhang, Will Ma et al.
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