ML/Google Distinguished Lecture Series-Machine Learning Department - Carnegie Mellon University

Machine Learning Special Seminars


Fall 2016 Seminar
Date: October 25, 2016
Time: 4:30 PM - 00:00 AM
Location: 4405 Gates and Hillman Centers
Speaker: Jeff Schneider Research Professor, Robotics Institute
Title: Bayesian Optimization and Embedded Learning Systems
Abstract: An important property of embedded learning systems is the ever-changing environment they create for all algorithms operating in the system. Optimizing the performance of those algorithms becomes a perpetual on-line activity rather than a one-off task. I will review some of these challenges in autonomous vehicles. I will discuss Bayesian optimization methods and their application in robotics and scientific applications, focusing on scaling up the dimensionality and managing multi-fidelity evaluations. I will finish with lessons learned and thoughts on future directions as these methods move into embedded systems.