An Infovore is an information-based entity that explores the world, learns, and applies these learnings effectively. In essence: a form of weak AI. We have been working on a general-purpose infovore for making decisions using elements of contextual bandits, systems, and experts-style learning that has now been successfully deployed at large scale. I will discuss the architecture of the infovore, the key results upon which it relies, and how everything works together to enable true open-loop learning in the real world.
Date and Time
Friday May 6, 2016 12:30pm -
1:30pm
Location
Computer Science Small Auditorium (Room 105)
Event Type
Speaker
John Langford, from Microsoft Research
Host
Elad Hazan