Detecting Truncation on Log-Concave and 1-Strictly Sub-Exponential distribution
1ComplexityProposed Algorithm
Evaluation results
| Method | Links | |
|---|---|---|
| Proposed AlgorithmDistribution=Log-Concave and 1-Strictly Sub-Exponential(†), Access=Approximate sample access (△), Hypothesis Class=Functions of O(1) halfspaces2025.04 | 1 | |
| Proposed AlgorithmDistribution=Log-Concave and 1-Strictly Sub-Exponential(†), Access=Approximate sample access (△), Hypothesis Class=L1-approximable by degree-k non-negativepolynomials with ε = poly(α)2025.04 | 1 |