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What and Who

Communication and Memory Efficient Testing of Discrete Distributions

Themis Gouleakis
Max-Planck-Institut für Informatik - D1
AG1 Mittagsseminar (own work)
AG 1  
AG Audience
English

Date, Time and Location

Friday, 21 June 2019
15:00
30 Minutes
E1 4
024
Saarbrücken

Abstract

This talk is about distribution testing with communication and memory constraints in the following computational models: (1) The one-pass streaming model where the goal is to minimize the sample complexity of the protocol subject to a memory constraint, and (2) A distributed model where the data samples reside at multiple machines and the goal is to minimize the communication cost of the protocol. In both these models, we provide efficient algorithms for uniformity/identity testing (goodness of fit) and closeness testing (two sample testing). Moreover, we show nearly-tight lower bounds on (1) the sample complexity of any one-pass streaming tester for uniformity, subject to the memory constraint, and (2) the communication cost of any uniformity testing protocol, in a restricted “one-pass” model of communication.

Contact

Themistoklis Gouleakis
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Themistoklis Gouleakis, 06/19/2019 22:41
Themistoklis Gouleakis, 06/03/2019 14:11
Themistoklis Gouleakis, 06/03/2019 14:10 -- Created document.