EE Student Information

The Department of Electrical Engineering supports Black Lives Matter. Read more.

• • • • •

EE Student Information, Spring & Summer Quarters 19-20: FAQs and Updated EE Course List.

Updates will be posted on this page, as well as emailed to the EE student mail list.

Please see Stanford University Health Alerts for course and travel updates.

As always, use your best judgement and consider your own and others' well-being at all times.

IT Forum welcomes Jiantao Jiao (UC Berkeley)

Deconstructing Generative Adversarial Networks
Tuesday, May 21, 2019 - 10:00am
Packard 214
Jiantao Jiao (UC Berkeley)
Abstract / Description: 

We deconstruct the Generative Adversarial Networks (GANs) to its three fundamental problems to study: formulation, generalization, and optimization. We propose systematic principles to formulate the population goals of GANs (when infinite samples are available), and reveal and further develop connections between GANs and robust statistics. We provide principled methods to achieve the population formulations of GANs given finite samples with small generalization error, and demonstrate the intricacy of moving from infinite samples to finite samples in statistical error. We show through examples the importance of solving the inner maximization problem before the outer minimization problem, and demonstrate embedding the knowledge of the solution of the inner maximization problem could make a locally unstable algorithm globally stable. Joint work with Banghua Zhu and David Tse.