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A New Approach to Distribution Testing Kane, Daniel
Description
We study the problem of determining whether or not a discrete distribution has a given property from a small number of samples. We present a new technique in this field that operates by reducing many such problems in a black box way to a simple L^2 tester. We show how this new technique can recover simple proofs of several known, optimal results and how it can be extended to provide optimal solutions to a number of previously unsolved problems.
Item Metadata
Title |
A New Approach to Distribution Testing
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Creator | |
Publisher |
Banff International Research Station for Mathematical Innovation and Discovery
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Date Issued |
2016-09-08T13:15
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Description |
We study the problem of determining whether or not a
discrete distribution has a given property from a small number of
samples. We present a new technique in this field that operates by
reducing many such problems in a black box way to a simple L^2 tester.
We show how this new technique can recover simple proofs of several
known, optimal results and how it can be extended to provide optimal
solutions to a number of previously unsolved problems.
|
Extent |
49 minutes
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Subject | |
Type | |
File Format |
video/mp4
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Language |
eng
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Notes |
Author affiliation: UCSD
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Series | |
Date Available |
2017-03-10
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0343131
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URI | |
Affiliation | |
Peer Review Status |
Unreviewed
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Scholarly Level |
Faculty
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International