Journal Article10.1145/2898355
On Sample-Based Testers
Oded Goldreich,Dana Ron +1 more
49
TL;DR: This work advances the study of sample-based property testers by providing several general positive results as well as by revealing relations between variants of this testing model, and shows that certain types of query-based testers yield sample- based testers of sublinear sample complexity.
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Abstract: The standard definition of property testing endows the tester with the ability to make arbitrary queries to “elements” of the tested object. In contrast, sample-based testers only obtain independently distributed elements (a.k.a. labeled samples) of the tested object. While sample-based testers were defined by Goldreich, Goldwasser, and Ron (JACM 1998), with few exceptions, most research in property testing has focused on query-based testers.In this work, we advance the study of sample-based property testers by providing several general positive results as well as by revealing relations between variants of this testing model. In particular:—We show that certain types of query-based testers yield sample-based testers of sublinear sample complexity. For example, this holds for a natural class of proximity oblivious testers.—We study the relation between distribution-free sample-based testers and one-sided error sample-based testers w.r.t. the uniform distribution.While most of this work ignores the time complexity of testing, one part of it does focus on this aspect. The main result in this part is a sublinear-time sample-based tester, in the dense graphs model, for k-colorability, for any k g 2.
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Citations
•Journal Article
Property Testing and its connection to Learning and Approximation
TL;DR: In this paper, the authors consider the question of determining whether a function f has property P or is e-far from any function with property P. In some cases, it is also allowed to query f on instances of its choice.
873
•Book
Introduction to Property Testing
Oded Goldreich
- 01 Nov 2017
TL;DR: In this article, a wide range of algorithmic techniques for the design and analysis of tests for algebraic properties, properties of Boolean functions, graph properties, and properties of distributions are presented.
440
A Survey on Distribution Testing: Your Data is Big. But is it Blue?
TL;DR: The field of property testing originated in work on program checking, and has evolved into an established and very active research area.
•Journal Article
Improved Testing Algorithms for Monotonicity.
TL;DR: Improved algorithms for testing monotonicity of functions are presented, given the ability to query an unknown function f: Σ n ↦ Ξ, and the test always accepts a monotone f, and rejects f with high probability if it is e-far from being monotones.
152
Non-interactive proofs of proximity
Tom Gur,Ron D. Rothblum +1 more
TL;DR: In this article, a study of non-interactive proofs of proximity is presented, where the verifier is only assured of the proximity of a given statement to a correct one by rejecting inputs that are far from being valid.
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