Relative-error monotonicity testing
Xi Chen, Anindya De, Yizhi Huang, Yuhao Li, Shivam Nadimpalli, Rocco A. Servedio, Tianqi Yang
Abstract
The standard model of Boolean function property testing is not well suited for testing sparse functions which have few satisfying assignments, since every such function is close (in the usual Hamming distance metric) to the constant-0 function. In this work we propose and investigate a new model for property testing of Boolean functions, called relative-error testing, which provides a natural framework for testing sparse functions.
This new model defines the distance between two functions f, g : 0, 1 n → 0, 1 to be
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Install the CLIlune papers fulltext 298de1e3-07c1-4e60-9445-e625e7a12be5Cited by top-tier papers2
- Halfspaces are hard to test with relative errorXi Chen, Anindya De, Yizhi Huang, Shivam Nadimpalli et al.SODA 2026
- Boolean Function Monotonicity Testing Requires (Almost) n1/2 QueriesMark Chen, Xi Chen, Hao Cui, William Pires et al.STOC 2026
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