Hariri Institute Director’s Esteemed Seminar: Elad Hazan, Professor, Princeton University

Hosted by the Center for Information & Systems Engineering

Date: Nov 11, 2022
Time: 3PM-4PM
Hybrid location: 8 Saint Mary’s Street (PHO 203) or Zoom

Elad Hazan
Professor of Computer Science
Princeton University

The Online Convex Optimization Approach to Control

In this talk we will discuss an emerging paradigm in differentiable reinforcement learning called “online nonstochastic control”. The new approach applies techniques from online convex optimization and convex relaxations to obtain new methods with provable guarantees for classical settings in optimal and robust control. Time permitting we will discuss recent extensions to nonlinear adaptive control and planning.

No background is required for this talk, and relevant materials can be found here.

Elad Hazan is a professor of computer science at Princeton University. His research focuses on the design and analysis of algorithms for basic problems in machine learning and optimization. Amongst his contributions are the co-invention of the AdaGrad algorithm for deep learning, and the first sublinear-time algorithms for convex optimization. He is the recipient of the Bell Labs prize, the IBM Goldberg best paper award twice, in 2012 and 2008, a European Research Council grant, a Marie Curie fellowship,  twice the Google Research Award, and ACM fellowship. He served on the steering committee of the Association for Computational Learning and has been program chair for COLT 2015. In 2017 he co-founded In8 inc. focusing on efficient optimization and control, acquired by Google in 2018. He is the co-founder and director of Google AI Princeton.

Faculty Host: Yannis Paschalidis
Student Host: Zili Wang