Stanley Chan, Purdue University
Understanding plug-and-play ADMM: convergence, objective function, and generalization
Abstract

Oct 15, 2018, 2:00pm; EEB 132

 

Murat Arcak, University of California, Berkeley
Scalable symbolic control
Abstract

Oct 8, 2018, 2:00pm; EEB 132

 

Vanessa Jonsson, City of Hope Beckman Research Institute
Adaptive clinical trial design to address acquired resistance and therapeutic failure
Abstract

Oct 1, 2018, 2:00pm; EEB 132

 

James Anderson, California Institute of Technology
Private models and distributed control of networked systems
Abstract

Sept 24, 2018, 2:00pm; EEB 132

 

Soon-Jo Chung, California Institute of Technology
Multi-agent cooperative control and estimation for flying cars and spacecraft swarms
Abstract

Sept 17, 2018, 2:00pm; EEB 132

 

Meisam Razaviyayn, University of Southern California
Finding a local optimum of a constrained non-convex optimization and its connections to global optimality
Abstract

Sept 10, 2018, 2:00pm; EEB 132

 

Jason Lee, University of Southern California
Towards theoretical understanding of over-parametrization in deep learning
Abstract

Aug 27, 2018, 2:00pm; EEB 132