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Graph property testing

Date
November 26, 2025
Time
11:10 AM EST - 12:00 PM EST
Location
ENG-210 and virtually via zoom
Open To
All faculty, staff, students and guests are welcome to attend
Contact
Pawel Pralat (pralat@torontomu.ca)

Speaker: Lior Gishboliner, University of Toronto

Title: Graph property testing

Abstract: Property testing studies the existence of fast ``election polling'' algorithms for distinguishing inputs (graphs) having a certain property from inputs which are far from the property. I will give an overview of the subject, focusing on the question of testing with polynomial sample complexity and presenting some results from recent years.