Presented By
O’Reilly + Intel AI
Put AI to Work
April 15-18, 2019
New York, NY
Discover opportunities for applied AI
Organizations that successfully apply AI innovate and compete more effectively. How is AI transforming your business?
Be a part of the program—apply to speak by October 16.
Matthew Reyes

Matthew Reyes
Independent Researcher and Consultant, Independent Researcher and Consultant

Website

B.S. and M.S. in math at Wichita State University, Wichita, KS

M.S. and Ph.D. in ee:systems at University of Michigan, Ann Arbor, MI

worked 4+ years at MIT Lincoln Laboratory

currently doing freelance work and developing a reinforcement learning based approach to influence maximization on social networks

Sessions

4:55pm5:35pm Thursday, April 18, 2019
Models and Methods
Location: Rendezvous
Secondary topics:  Media, Marketing, Advertising, Models and Methods, Reinforcement Learning
Matthew Reyes (Independent Researcher and Consultant)
This talk considers optimizing preference towards a product on a social network. The model for consumer decision-making is based on the notion of random utility. The contributions of the model are stochastic decisions that will be learned from data, and the inclusion of marketing under the control of individual companies. These contributions enable a reinforcement learning based approach. Read more.