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Paper questions necessity of randomness for adaptive data analysis

By PulseAugur Editorial · [2 sources] ·

A new paper from arXiv explores the necessity of randomness in adaptive data analysis (ADA). The research demonstrates that for computationally unbounded analysts, randomness is strictly required to answer more than a trivial number of adaptive queries. Without randomness, deterministic mechanisms are limited to approximately O(n) queries, whereas randomized mechanisms can support up to O(n^2) queries. AI

IMPACT This research clarifies theoretical limits on data analysis, potentially impacting how AI models are trained and evaluated when datasets are repeatedly accessed.

RANK_REASON The cluster contains an academic paper discussing theoretical computer science concepts.

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Paper questions necessity of randomness for adaptive data analysis

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COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Edith Cohen, Haim Kaplan, Yishay Mansour, Shay Sapir, Uri Stemmer ·

    Is Randomness Necessary for Adaptive Data Analysis?

    arXiv:2607.07085v1 Announce Type: cross Abstract: The Adaptive Data Analysis (ADA) problem formalizes the challenge of preventing false discovery and overfitting when a dataset is repeatedly reused. Formally, our input is a dataset containing $n$ i.i.d. samples from an unknown di…

  2. arXiv cs.LG TIER_1 English(EN) · Uri Stemmer ·

    Is Randomness Necessary for Adaptive Data Analysis?

    The Adaptive Data Analysis (ADA) problem formalizes the challenge of preventing false discovery and overfitting when a dataset is repeatedly reused. Formally, our input is a dataset containing $n$ i.i.d. samples from an unknown distribution $\mathcal{P}$ over a domain $\mathcal{X…

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