Truly Perfect Samplers for Data Streams and Sliding Windows
Summary: Define “truly perfect” samplers (exact output distribution, ε=γ=0) and prove sublinear-space impossibility in general turnstile streams. Provide a sublinear-space framework for insertion-only and sliding-window streams yielding truly perfect L_p samplers for all p>0 with O(1) updates and extensions to concave and robust measures. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Rajesh Jayaram
- 2. David P. Woodruff
- 3. Samson Zhou
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,353 | Perfect Sampling in Turnstile Streams Beyond Small Moments | 2025 | PODS | 4.1945683e-05 |
| 10,901 | Streaming Algorithms with Few State Changes | 2024 | PODS | 4.1945683e-05 |
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