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Searching for and Avoiding Hidden Sets Using Queries with Local Feedback

AAAI 2025 · Learning theory and algorithms › Prediction and decision losses · approach: Adaptive testing and experiments · 0 citations (OpenAlex)

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Introduces local feedback and cluster avoidance into non-adaptive group testing, giving polynomial-time constructions of local selectors and local avoiding selectors with near-optimal query lengths plus matching-type lower bounds.

Problem

Non-adaptive group testing with the double-threshold (singleton) feedback where each non-hidden element must learn all hidden elements using only queries it belongs to, and additionally avoid interfering clusters; prior constructions were only existential.

Approach

Defines local selectors (LocS) and local avoiding selectors (LocAS) for group testing, and gives explicit polynomial-based constructions (with prime-number encodings for avoidance) whose lengths are polylogarithmically close to existential bounds and to lower bounds.

Key results

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add local learning to classic group testingGroup testing · (n,k)-LocSnumber of queries: O(k2 log(n/k)) -> Ω(min{k3 logk n, kn})Hurt
Add avoidance of ℓ other clusters while requiring local learningLocal group testing · (n,k,ℓ)-LocASselector length: O((k + ℓ)ℓk2 log n); Ω(ℓ · min{k3 logk n, kn})Mixed
Use the polynomial-time construction instead of the probabilistic existence bound(n,k)-LocS · (n,k)-LocSselector length: O(k3 log n) -> O(k3 log2 n(logk n + (log log n/ log k)2))Hurt
Use the polynomial-time construction instead of the probabilistic existence bound(n,k,ℓ)-LocAS · (n,k,ℓ)-LocASselector length: O((k + ℓ)ℓk2 log n) -> O((k + ℓ)k2ℓ · polylog(n, k, ℓ))Hurt
Increase constant c to tolerate α adversarially altered feedback positionsLocS and LocAS constructions · Fault-prone testingselector length: ⌈α/(kd)⌉Hurt
Increase constant c to provide more witnessed columns and decode with beeping feedbackLocS and LocAS constructions · Beeping feedbackselector lengthNo clear effect

Surprising findings

Limitations

Experimental setup

Metrics: query sequence length (asymptotic)

Baselines: existential LocS bound (Jurdzinski et al. 2018) existential LocAS bound (Jurdzinski et al. 2018) product of classic selectors

Builds on: classic group testing selectors witnessed strong selectors (Jurdzinski et al. 2018)

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