Advances in Statistical Learning: From Deep Networks to Graphs and Evolving Cities

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• 1) Prof. Zhi Tian, George Mason University, USA, 2) Prof. David Miller, Penn State University, USA, 3) Prof. Anthony Kuh, NSF and University of Hawaii, USA, 4) Dr. Stanislava Boskovic and Prof. Tony Constantinides, Imperial College London
• Friday 10 May 2019, 14:00-17:00
• Dennis Gabor Seminar Room (611), EEE Department.

If you have a question about this talk, please contact Danilo Mandic.

This is a C&SP mini workshop on Statistical Learning and Applications

We welcome four distinguished speakers (for full detail, please see the attached Workshop Flyer)

1) Prof. Zhi Tian, George Mason University, USA Title: Energy-Efficient Decentralized Optimization and Learning

2) Prof. David Miller, Penn State University, USA Title: Adversarial Learning in Statistical Classification: State-of-the-art Defenses Against Test-time Evasion, Reverse Engineering, and Backdoor Attacks

3) Prof. Anthony Kuh, NSF and University of Hawaii, USA Title: Graphical Tree Models: Covariance Approximation, Assessment, and Extensions

4) Dr. Stanislava Boskovic and Prof. Tony Constantinides, Imperial College London Title: Graphs for Cities: A Framework for Future Urban Transition

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This talk is part of the COMMSP Seminar series.

This talk is included in these lists:

• COMMSP & CP list
• COMMSP Seminar
• Dennis Gabor Seminar Room (611), EEE Department
• SAP Talks

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