Probability and Statistics Seminar: Approximate counting and sampling via local central limit theorems

Friday, September 3 at 3:30pm to 4:30pm

This is a past event.
Virtual Event

There will be a projector screen in KAP 414 for those who would like to gather and watch the talk. Note the speaker will not be present in KAP 414.

Mehtaab Sawhney, MIT

Abstract: We give determinisitc approximate counting algorithms for the number of matchings and independent sets of a given size in bounded degree graphs. For matchings, the algorithm applies to any size bounded away from the maximum by a constant factor; for independent sets the algorithm applies to sizes up to the NP-hardness threshold. Our results are based on exploiting local central limit theorems as an algorithmic tool. For our results for independent sets, we prove a new local central limit theorem for the hard-core model.  (with Vishesh Jain, Will Perkins, and Ashwin Sah)


Dial-In Information

Zoom Meeting:

Meeting ID: 976 9730 1086
Passcode: 833477

Event Type

Lecture / Talk / Workshop

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