Methods for Adaptive Seeding and their Applications

Speaker: Yaron Singer , Harvard University

Date: Tuesday, November 19, 2013

Time: 4:15 PM to 5:15 PM Note: all times are in the Eastern Time Zone

Refreshments: 3:45 PM

Public: Yes

Location: 32-G449

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Host: Dana Moshkovitz and Costis Daskalakis

Contact: Holly A Jones,

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Reminder Subject: TALK: Methods for Adaptive Seeding and their Applications

Abstract: Adaptive seeding is a two-stage stochastic optimization framework recently developed for information dissemination in social networks. The goal is to optimize a combinatorial function by making an initial decision that affects the realizations selected by nature. Beyond information dissemination in networks other interesting applications are in machine learning and operations research. In this talk we will discuss several optimization techniques for adaptive seeding as well as results in social network analysis that motivate this approach.

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See other events that are part of the Theory of Computation Colloquium - 2013.

Created by Holly A Jones Email at Friday, November 08, 2013 at 11:24 AM.