License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ICALP.2020.9
URN: urn:nbn:de:0030-drops-124163
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2020/12416/
Bassilakis, Andrew ;
Drucker, Andrew ;
Göös, Mika ;
Hu, Lunjia ;
Ma, Weiyun ;
Tan, Li-Yang
The Power of Many Samples in Query Complexity
Abstract
The randomized query complexity ?(f) of a boolean function f: {0,1}ⁿ → {0,1} is famously characterized (via Yao’s minimax) by the least number of queries needed to distinguish a distribution ?₀ over 0-inputs from a distribution ?₁ over 1-inputs, maximized over all pairs (?₀,?₁). We ask: Does this task become easier if we allow query access to infinitely many samples from either ?₀ or ?₁? We show the answer is no: There exists a hard pair (?₀,?₁) such that distinguishing ?₀^∞ from ?₁^∞ requires Θ(?(f)) many queries. As an application, we show that for any composed function f∘g we have ?(f∘g) ≥ Ω(fbs(f)?(g)) where fbs denotes fractional block sensitivity.
BibTeX - Entry
@InProceedings{bassilakis_et_al:LIPIcs:2020:12416,
author = {Andrew Bassilakis and Andrew Drucker and Mika G{\"o}{\"o}s and Lunjia Hu and Weiyun Ma and Li-Yang Tan},
title = {{The Power of Many Samples in Query Complexity}},
booktitle = {47th International Colloquium on Automata, Languages, and Programming (ICALP 2020)},
pages = {9:1--9:18},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-138-2},
ISSN = {1868-8969},
year = {2020},
volume = {168},
editor = {Artur Czumaj and Anuj Dawar and Emanuela Merelli},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2020/12416},
URN = {urn:nbn:de:0030-drops-124163},
doi = {10.4230/LIPIcs.ICALP.2020.9},
annote = {Keywords: Query complexity, Composition theorems}
}
Keywords: |
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Query complexity, Composition theorems |
Collection: |
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47th International Colloquium on Automata, Languages, and Programming (ICALP 2020) |
Issue Date: |
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2020 |
Date of publication: |
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29.06.2020 |