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Detecting Truncation on Uniform distribution on {0, 1}^d

1Computational ComplexityProposed Algorithm
0.881.692.53.31Apr 14, 2025

Evaluation results

MethodLinks
Proposed AlgorithmDistribution=Uniform on {0, 1}^d, Access=Approximate sample access (△), Hypothesis Class=Decision trees of size s2025.041
Proposed AlgorithmDistribution=Uniform on {0, 1}^d, Access=Approximate sample access (△), Hypothesis Class=Decision tree of halfspaces of size s, depth t2025.042
Proposed AlgorithmDistribution=Uniform on {0, 1}^d, Access=Approximate sample access (△), Hypothesis Class=Intersection of t Halfspaces2025.044