Junta correlation is testable
Not on the map. Why?
Abstract (arXiv)
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: We show that given distance parameters frac12 >cu>cℓ ≥ 0, there is a tester which given oracle access to f:-1,1n rightarrow -1,1, with query complexity 2k · mathsfpoly(k,1/|cu-cℓ|) and distinguishes between the following cases: 1. The distance of f from any k-junta is at least cu; 2. There is a k-junta g which has distance at most cℓ from f. This is the first non-trivial tester (i.e., query complexity is independent of n) which works for all 1/2 > cu > cℓ ≥ 0. The best previously known results by Blais et~ al., required cu ≥ 16 cℓ. 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 mathsfpoly(k, 1/|cu-cℓ|) for the (weaker) task of distinguishing between the following cases: 1. The distance of f from any k'-junta is at least cu. 2. There is a k-junta g which is at a distance at most cℓ from f. Here k'=O(k2/|cu-cℓ|). Our main tools are Fourier analysis based algorithms that simulate oracle access to influential coordinates of functions.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 Apr 2019.
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Citing papers per year: 2023: 1; 2024: 2.
3 papers.
- 2024On the Power of Interactive Proofs for Learning11 Apr 2024
- 2024Sample-Efficient Linear Regression with Self-Selection Bias22 Feb 2024
- 2023Agnostic PAC Learning of k-juntas Using L2-Polynomial Regression8 Mar 2023