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相关论文: Distance-Sensitive Property Testing Lower Bounds

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In the property testing model, the task is to distinguish objects possessing some property from the objects that are far from it. One of such properties is monotonicity, when the objects are functions from one poset to another. This is an…

计算复杂性 · 计算机科学 2018-05-11 Aleksandrs Belovs

We consider the problem of testing whether a Boolean function has Fourier degree $\leq k$ or it is $\epsilon$-far from any Boolean function with Fourier degree $\leq k$. We improve the known lower bound of $\Omega(k)$ \cite{BBM11,CGM10}, to…

计算复杂性 · 计算机科学 2013-08-27 Pooya Hatami

The primary problem in property testing is to decide whether a given function satisfies a certain property, or is far from any function satisfying it. This crucially requires a notion of distance between functions. The most prevalent notion…

离散数学 · 计算机科学 2014-04-04 Deeparnab Chakrabarty , Kashyap Dixit , Madhav Jha , C. Seshadhri

The goal of property testing is to quickly distinguish between objects which satisfy a property and objects that are $\epsilon$-far from satisfying the property. There are now several general results in this area which show that natural…

组合数学 · 数学 2018-04-05 Jacob Fox , Fan Wei

Given a non-negative $n \times n$ matrix viewed as a set of distances between $n$ points, we consider the property testing problem of deciding if it is a metric. We also consider the same problem for two special classes of metrics, tree…

离散数学 · 计算机科学 2024-11-15 Yiqiao Bao , Sampath Kannan , Erik Waingarten

We initiate a systematic study of the computational complexity of property testing, focusing on the relationship between query and time complexity. While traditional work in property testing has emphasized query complexity, relatively…

计算复杂性 · 计算机科学 2026-03-12 Renato Ferreira Pinto , Diptaksho Palit , Sofya Raskhodnikova

We consider the problem of testing whether an unknown Boolean function $f$ is monotone versus $\epsilon$-far from every monotone function. The two main results of this paper are a new lower bound and a new algorithm for this well-studied…

计算复杂性 · 计算机科学 2014-12-19 Xi Chen , Rocco A. Servedio , Li-Yang Tan

We develop a new technique for proving distribution testing lower bounds for properties defined by inequalities involving the bin probabilities of the distribution in question. Using this technique we obtain new lower bounds for…

机器学习 · 计算机科学 2023-08-02 Yuqian Cheng , Daniel M. Kane , Zhicheng Zheng

We show that every algorithm for testing $n$-variate Boolean functions for monotonicity must have query complexity $\tilde{\Omega}(n^{1/4})$. All previous lower bounds for this problem were designed for non-adaptive algorithms and, as a…

计算复杂性 · 计算机科学 2015-11-17 Aleksandrs Belovs , Eric Blais

Given two testable properties $\mathcal{P}_{1}$ and $\mathcal{P}_{2}$, under what conditions are the union, intersection or set-difference of these two properties also testable? We initiate a systematic study of these basic set-theoretic…

数据结构与算法 · 计算机科学 2010-10-26 Victor Chen , Madhu Sudan , Ning Xie

In this paper we show how the complexity of performing nearest neighbor (NNS) search on a metric space is related to the expansion of the metric space. Given a metric space we look at the graph obtained by connecting every pair of points…

数据结构与算法 · 计算机科学 2010-05-05 Rina Panigrahy , Kunal Talwar , Udi Wieder

Given query access to a set of constraints $S$, we wish to quickly check if some objective function $\varphi$ subject to these constraints is at most a given value $k$. We approach this problem using the framework of property testing where…

数据结构与算法 · 计算机科学 2019-11-20 Rogers Epstein , Sandeep Silwal

Property testers are fast, randomized "election polling"-type algorithms that determine if an input (e.g., graph or hypergraph) has a certain property or is $\varepsilon$-far from the property. In the dense graph model of property testing,…

数据结构与算法 · 计算机科学 2025-08-26 Lior Gishboliner , Asaf Shapira

Property testing algorithms are highly efficient algorithms, that come with probabilistic accuracy guarantees. For a property P, the goal is to distinguish inputs that have P from those that are far from having P with high probability…

计算机科学中的逻辑 · 计算机科学 2020-09-17 Isolde Adler , Polly Fahey

We study unitary property testing, where a quantum algorithm is given query access to a black-box unitary and has to decide whether it satisfies some property. In addition to containing the standard quantum query complexity model (where the…

量子物理 · 物理学 2022-12-12 Adrian She , Henry Yuen

The field of property testing of probability distributions, or distribution testing, aims to provide fast and (most likely) correct answers to questions pertaining to specific aspects of very large datasets. In this work, we consider a…

数据结构与算法 · 计算机科学 2015-04-27 Clément L. Canonne

In this work, we consider the sample complexity required for testing the monotonicity of distributions over partial orders. A distribution $p$ over a poset is monotone if, for any pair of domain elements $x$ and $y$ such that $x \preceq y$,…

数据结构与算法 · 计算机科学 2019-07-09 Maryam Aliakbarpour , Themis Gouleakis , John Peebles , Ronitt Rubinfeld , Anak Yodpinyanee

For positive integers $n, d$, consider the hypergrid $[n]^d$ with the coordinate-wise product partial ordering denoted by $\prec$. A function $f: [n]^d \mapsto \mathbb{N}$ is monotone if $\forall x \prec y$, $f(x) \leq f(y)$. A function $f$…

数据结构与算法 · 计算机科学 2013-04-22 Deeparnab Chakrabarty , C. Seshadhri

Quantum sample-to-query lifting, a relation between quantum sample complexity and quantum query complexity presented in Wang and Zhang (SIAM J. Comput. 2025), was significantly strengthened by Tang, Wright, and Zhandry (2025) to the case of…

量子物理 · 物理学 2025-12-02 Kean Chen , Qisheng Wang , Zhicheng Zhang

The problem of monotonicity testing over the hypergrid and its special case, the hypercube, is a classic, well-studied, yet unsolved question in property testing. We are given query access to $f:[k]^n \mapsto \R$ (for some ordered range…

离散数学 · 计算机科学 2014-04-04 Deeparnab Chakrabarty , C. Seshadhri
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