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routineStatistical & Classical MLQuantization2607.02896

Open Problem: Is Interaction Necessary for Order-Optimal 1-bit Mean Estimation?

Ivan Lau, Jonathan Scarlett

cs.IT cs.LG math.ST stat.ML

Abstract

We ask whether interaction is necessary for order-optimal 1-bit mean estimation over nonparametric finite-moment classes. Adaptive threshold-query protocols achieve the order-optimal 1-bit minimax rate, and the same rate is attainable with general 1-bit queries using only one adaptive transition (i.e., two stages of querying). In the non-adaptive setting, threshold and interval queries are known to be highly suboptimal, but the case of arbitrary non-adaptive quantizers remains unresolved. Can such quantizers match the adaptive rate, yielding an optimal one-shot protocol? Or is the known two-stage estimator stage-optimal, with a single adaptive transition being necessary and sufficient?

Topics

Classified with taxonomy v2 on Sat, 5 Sept 2026.

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