Self-testing/correcting with applications to numerical problems
Journal of Computer and System Sciences - Special issue: papers from the 22nd ACM symposium on the theory of computing, May 14–16, 1990
Testing Basic Boolean Formulae
SIAM Journal on Discrete Mathematics
Three theorems regarding testing graph properties
Random Structures & Algorithms
Journal of Computer and System Sciences - Special issue on FOCS 2002
Exact learning of DNF formulas using DNF hypotheses
Journal of Computer and System Sciences - Special issue on COLT 2002
Testing for Concise Representations
FOCS '07 Proceedings of the 48th Annual IEEE Symposium on Foundations of Computer Science
Testing juntas nearly optimally
Proceedings of the forty-first annual ACM symposium on Theory of computing
Testing Fourier Dimensionality and Sparsity
ICALP '09 Proceedings of the 36th International Colloquium on Automata, Languages and Programming: Part I
SIAM Journal on Computing
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In a well-known result Goldreich and Trevisan (2003) showed that every testable graph property has a "canonical" tester in which a set of vertices is selected at random and the edges queried are the complete graph over the selected vertices. We define a similar-inspirit canonical form for Boolean function testing algorithms, and show that under some mild conditions property testers for Boolean functions can be transformed into this canonical form. Our first main result shows, roughly speaking, that every "nice" family of Boolean functions that has low noise sensitivity and is testable by an "independent tester," has a canonical testing algorithm. Our second main result is similar but holds instead for families of Boolean functions that are closed under ID-negative minors. Taken together, these two results cover almost all of the constant-query Boolean function testing algorithms that we know of in the literature, and show that all of these testing algorithms can be automatically converted into a canonical form.