Testing Identity of Structured Distributions
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Abstract (arXiv)
We study the question of identity testing for structured distributions. More precisely, given samples from a em structured distribution q over [n] and an explicit distribution p over [n], we wish to distinguish whether q=p versus q is at least ε-far from p, in L1 distance. In this work, we present a unified approach that yields new, simple testers, with sample complexity that is information-theoretically optimal, for broad classes of structured distributions, including t-flat distributions, t-modal distributions, log-concave distributions, monotone hazard rate (MHR) distributions, and mixtures thereof.
Key facts. Cited by 19 papers in the map (data through 14 Oct 2026). First posted on arXiv 8 Oct 2014.
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Citing papers per year: 2021: 3; 2022: 2; 2023: 5; 2024: 2; 2025: 3; 2026: 4.
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- 2021Exponential separations between learning with and without quantum memorycited by 52
- 2021The Price of Tolerance in Distribution Testingcited by 14
- 2023Testing Closeness of Multivariate Distributions via Ramsey Theorycited by 8
- 2022Near-Optimal Bounds for Testing Histogram Distributionscited by 4
- 2024Replicable Uniformity Testingcited by 4
- 2022Gaussian Mean Testing Made Simplecited by 3
- 2023Uniformity Testing over Hypergrids with Subcube Conditioningcited by 2
- 2024Optimal Algorithms for Augmented Testing of Discrete Distributionscited by 2
- 2025Attainability of Two-Point Testing Rates for Finite-Sample Location Estimationcited by 2
- 2025Replicable Distribution Testingcited by 2
- 2023Testing with Non-identically Distributed Samplescited by 1
- 2023Statistical Inference with Limited Memory: A Surveycited by 1
7 more
- 2026Optimal Prediction-Augmented Algorithms for Testing Independence of Distributionscited by 1
- 2021Uniformity Testing in the Shuffle Model: Simpler, Better, Fastercited by 0
- 2023The Minimax Risk in Testing Uniformity over Large Alphabets under Missing-Ball Alternativescited by 0
- 2025Near-optimal algorithms for private estimation and sequential testing of collision probabilitycited by 0
- 2026Relatively Smart: A New Approach for Instance-Optimal Learningcited by 0
- 2026Density estimation for Hellinger via minimum-distance estimators: mixtures of Gaussians, log-concave, and morecited by 0
- 2026Testing Distributions Against Bounded Distinguisherscited by 0
- 2026Testing Distributions Against Bounded Distinguishers17 Jul 2026
- 2026Density estimation for Hellinger via minimum-distance estimators: mixtures of Gaussians, log-concave, and more9 Jun 2026
- 2026Optimal Prediction-Augmented Algorithms for Testing Independence of Distributions4 Mar 2026
- 2026Relatively Smart: A New Approach for Instance-Optimal Learning2 Mar 2026
- 2025Replicable Distribution Testing3 Jul 2025
- 2025Near-optimal algorithms for private estimation and sequential testing of collision probability18 Apr 2025
- 2025Attainability of Two-Point Testing Rates for Finite-Sample Location Estimation9 Feb 2025
- 2024Optimal Algorithms for Augmented Testing of Discrete Distributions1 Dec 2024
- 2024Replicable Uniformity Testing12 Oct 2024
- 2023Statistical Inference with Limited Memory: A Survey23 Dec 2023
- 2023Testing Closeness of Multivariate Distributions via Ramsey Theory22 Nov 2023
- 2023Testing with Non-identically Distributed Samples19 Nov 2023
7 more
- 2023The Minimax Risk in Testing Uniformity over Large Alphabets under Missing-Ball Alternatives29 May 2023
- 2023Uniformity Testing over Hypergrids with Subcube Conditioning17 Feb 2023
- 2022Gaussian Mean Testing Made Simple25 Oct 2022
- 2022Near-Optimal Bounds for Testing Histogram Distributions14 Jul 2022
- 2021Exponential separations between learning with and without quantum memory10 Nov 2021
- 2021Uniformity Testing in the Shuffle Model: Simpler, Better, Faster20 Aug 2021
- 2021The Price of Tolerance in Distribution Testing25 Jun 2021
- 2021Exponential separations between learning with and without quantum memorycited by 52
- 2021The Price of Tolerance in Distribution Testingcited by 14
- 2023Testing Closeness of Multivariate Distributions via Ramsey Theorycited by 8
- 2022Near-Optimal Bounds for Testing Histogram Distributionscited by 4
- 2024Replicable Uniformity Testingcited by 4
- 2022Gaussian Mean Testing Made Simplecited by 3
- 2023Uniformity Testing over Hypergrids with Subcube Conditioningcited by 2
- 2024Optimal Algorithms for Augmented Testing of Discrete Distributionscited by 2
- 2025Attainability of Two-Point Testing Rates for Finite-Sample Location Estimationcited by 2
- 2025Replicable Distribution Testingcited by 2
- 2023Testing with Non-identically Distributed Samplescited by 1
- 2023Statistical Inference with Limited Memory: A Surveycited by 1
12 most cited of 19 All 19 (JSON)
- 2026Testing Distributions Against Bounded Distinguishers17 Jul 2026
- 2026Density estimation for Hellinger via minimum-distance estimators: mixtures of Gaussians, log-concave, and more9 Jun 2026
- 2026Optimal Prediction-Augmented Algorithms for Testing Independence of Distributions4 Mar 2026
- 2026Relatively Smart: A New Approach for Instance-Optimal Learning2 Mar 2026
- 2025Replicable Distribution Testing3 Jul 2025
- 2025Near-optimal algorithms for private estimation and sequential testing of collision probability18 Apr 2025
- 2025Attainability of Two-Point Testing Rates for Finite-Sample Location Estimation9 Feb 2025
- 2024Optimal Algorithms for Augmented Testing of Discrete Distributions1 Dec 2024
- 2024Replicable Uniformity Testing12 Oct 2024
- 2023Statistical Inference with Limited Memory: A Survey23 Dec 2023
- 2023Testing Closeness of Multivariate Distributions via Ramsey Theory22 Nov 2023
- 2023Testing with Non-identically Distributed Samples19 Nov 2023
12 newest of 19 All 19 (JSON)