Paper Info
Title
Junta Correlation is Testable
Abstract
The problem of tolerant junta testing is a natural and challenging problem which asks if the property of a function having some specified correlation with a k-Junta is testable. In this paper we give an affirmative answer to this question: There is an algorithm which given distance parameters c, d, and oracle access to a Boolean function f on the hypercube, has query complexity exp(k).poly(1/(cd)) and distinguishes between the following cases: 1) The distance of f from any k-junta is at least c; 2) There is a k-junta g which has distance at most d from f. This is the first non-trivial tester (i.e., query complexity is independent of the ambient dimension n) which works for all c and d (bounded by 0.5). The best previously known results by Blais et al., required c to be at least 16d. In fact, with the same query complexity, we accomplish the stronger goal of identifying the most correlated k-junta, up to permutations of the coordinates. We can further improve the query complexity to poly(k/(c-d)) for the (weaker) task of distinguishing between the following cases: 1) The distance of f from any k'-junta is at least c. 2) There is a k-junta g which is at a distance at most d from f. Here k'=poly(k/(c-d)). Our main tools are Fourier analysis based algorithms that simulate oracle access to influential coordinates of functions.
Year
DOI
Venue
2019
10.1109/FOCS.2019.00090
2019 IEEE 60th Annual Symposium on Foundations of Computer Science (FOCS)
Keywords
Field
DocType
Junta testing,Noise operator,Random restrictions
Discrete mathematics,Combinatorics,Permutation,Mathematics
Journal
Volume
ISSN
ISBN
abs/1904.04216
1523-8288
978-1-7281-4953-0
Citations 
PageRank 
References 
0
0.34
11
Authors
3
Name
Order
Citations
PageRank
Anindya De123924.77
Elchanan Mossel21725145.16
Joe Neeman301.01