A faster FPRAS for #NFA
Summary: Presents a faster FPRAS for #NFA, reducing per-state samples to polylog(m) and Õ(n^4/ε^2); time is Õ((m^2 n^10 + m^3 n^6)/ε^4 · log^2(1/δ)). Uses weaker invariants and total-variation closeness to uniform, pushing toward practical approximate #NFA tools. (summarized by gpt-5-nano on Feb 09 2026)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,362 | Towards Practical FPRAS for #NFA: Exploiting the Power of Dependence | 2025 | PODS | 4.1945683e-05 |
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,293 | Efficient Logspace Classes for Enumeration, Counting, and Uniform Generation | 2019 | PODS | 9.0899933e-05 |
| 7,163 | Probabilistic Query Evaluation: The Combined FPRAS Landscape | 2023 | PODS | 4.8132033e-05 |
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