← Tuesday, October 6, 2026ResearchPaper

Tail-Influence Sampling allocates rollouts to improve CVaR estimates

huggingface.co by Pauline Bourigault et al. Editor score 7/10

Tail-Influence Sampling estimates which conditional components most affect policy CVaR, then reallocates evaluation queries; on CliffWalking it reduces MSE by 41% versus learned occupancy and 76% versus a comparison method. The method offers a principled way to spend limited rollout budgets on rare failures.

What

Tail-Influence Sampling (TIS) allocates a fixed evaluation budget to estimate a policy’s lower-tail CVaR.

Method

TIS estimates tail-influence scales from a pilot model and directs fresh queries to the kernels that matter most to the tail.

Why it matters

It helps engineers evaluate rare-failure risk with costly rollouts instead of relying on mean returns alone.

Read on huggingface.co → Code · 1 stars

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