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Low Degree Hardness for Broadcasting on Trees

NeurIPS 2024 · Learning theory and algorithms › Sample complexity · approach: Computational thresholds in graphs and structure · 1 citations (OpenAlex)

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Proves that for broadcasting on trees below the Kesten-Stigum bound (d·λ²<1), any polynomial of Efron-Stein degree up to c·ℓ/(1+log R) (or fractal capacity analog) has exponentially vanishing correlation with the root.

Problem

Whether the Kesten-Stigum threshold d λ² = 1 is sharp for low-degree polynomial reconstruction of the root in broadcasting on trees, beyond the special case λ=0 previously established.

Approach

Introduces a fractal-capacity hierarchy of leaf subsets built by branch decomposition, and proves by induction on this hierarchy that the conditional variance of such functions given the root decays exponentially with depth when d λ² < 1, handling the non-product (Markov-dependent) structure of the leaves.

Key results

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Restrict the estimator to Efron-Stein degree ≤ cℓ/(1+log(R))Root inference in broadcasting on trees · Broadcasting on trees, dλ² < 1root correlation: Corr(f(XL), g(Xρ)) ≤ (max{dλ2, λ})ℓ/8Hurt
Restrict the function to fractal capacity ≤ cℓ/(1+log(R))Root inference in broadcasting on trees · Broadcasting on trees, dλ² < 1conditional variance ratio: Var(E[f(XL) | Xρ]) ≤ (max{dλ2, λ})ℓ/4Var(f(XL))Hurt

Limitations

Experimental setup

Metrics: variance of conditional expectation correlation with root

Builds on: Kesten-Stigum bound Kohler and Mossel low-degree broadcasting result Moitra Mossel Sandon chain construction Efron-Stein decomposition

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