Methods for Adaptive Seeding and their Applications
, 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
Host: Dana Moshkovitz and Costis Daskalakis
Contact: Holly A Jones, email@example.com
Relevant URL: toc.csail.mit.edu/node/372
Speaker URL: None
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.
Created by Holly A Jones at Friday, November 08, 2013 at 11:24 AM.