[Colloquium] [Talks at TTIC] 11/6 Young Researcher Seminar Series: Kenji Kawaguchi, Massachusetts Institute of Technology

[Alicia McClarin]

When:     Wednesday, November 6th, 2019 at 11:00am

Where:    TTIC, 6045 S Kenwood Avenue, 5th Floor, Room 526

*Who:*       Kenji Kawaguchi, Massachusetts Institute of Technology


*Title: *Optimization Landscapes in Deep Learning


*Abstract: *Deep learning has provided high-impact data-driven methods in
various applications. However, theoretical guarantees in deep learning tend
to provide too pessimistic insights with a gap from practical observations,
often because of hidden special properties. Identifying such special
properties can provide novel theoretical insights, and is potentially
helpful for understanding and designing practical methods. In this talk, I
will discuss special properties on nonconvex optimization landscapes of
deep neural networks, as well as their implications on gradient descent
methods and a few results on real-world applications.



*Bio:*      Kenji Kawaguchi is a Ph.D. candidate at Massachusetts Institute
of Technology (MIT), advised by Prof. Leslie Pack Kaelbling. He received
his M.S. in Electrical Engineering and Computer Science from MIT. His
research interests span deep learning, machine learning, artificial
intelligence, nonconvex optimization and Bayesian optimization. His
research has been cited widely in academia and used in classes at various
universities. He was invited to speak at the 2019 International Congress on
Industrial and Applied Mathematics Minisymposium on “Theoretical
Foundations of Deep Learning”. In 2018, he was invited for a summer
research visit at Microsoft Research in Redmond. He was awarded the Funai
Overseas Scholarship in 2014 and was selected for the Nakajimi Foundation
Fellowship in 2013.

*Host:   *Nati Srebro <nati at ttic.edu>

-- 
*Alicia McClarin*
*Toyota Technological Institute at Chicago*
*6045 S. Kenwood Ave., **Office 518*
*Chicago, IL 60637*
*773-834-3321*
*www.ttic.edu* <http://www.ttic.edu/>
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