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Program Schedule
Last updated: 9 Jan 2018
| Venue: |
IAS Lecture Theater,
G/F, Lo Ka Chung Building, Lee Shau Kee Campus, HKUST |
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8 Jan | 9 Jan | 10 Jan | 11 Jan | 12 Jan
8 Jan (Mon)
|
Time |
Event |
| 10:30-10:50 |
Registration and Tea
Reception (Venue: IAS Lobby, G/F) |
| 10:50-11:00 |
Welcoming Remarks
Andrew G Cohen
(Director of HKUST Jockey Club Institute for Advanced Study) |
| 11:00-12:00 |
"Three Dimensional Deep Learning and Many Body Physics”
[Abstract]
Matthew Hirn (Michigan State University) |
| 12:00-14:00 |
Welcome Lunch at
Conference Lodge (For invited
speakers only) |
| 14:00-15:00 |
"Maximum Principle Based Algorithms for Deep Learning”
Qianxiao Li (Institute of High Performance Computing, A*STAR; and National University of Singapore )
[Abstract] |
| 15:00-15:30 |
Refreshments (Venue: IAS Lobby, G/F) |
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9 Jan (Tue)
|
Time |
Event |
| 09:30-10:30 |
"On Mathematical Theories of Deep Learning”
Yuan Yao (The Hong Kong University of Science and Technology) |
| 10:30-11:00 |
Coffee Break (Venue: IAS Lobby, G/F) |
| 11:00-12:00 |
"Approximation Analysis of Distributed Learning and Deep CNNs” [Abstract]
Dingxuan Zhou (City University of Hong Kong)
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| 12:00-14:00 |
Lunch (Self-arranged) |
| 14:00-15:00 |
"Differential Geometry for Statistical and Entropy-based
Inference” [Abstract]
Jun Zhang (The
University of Michigan) |
| 15:00-15:30 |
Group Photo and Coffee Break (Venue: IAS Lobby, G/F) |
| 15:30-17:00 |
Discussion Session (For invited speakers only) |
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17:00- |
Banquet (For invited speakers only)
Coach departs from Lo Ka Chung Building at 17:00
and returns at 20:30 |
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10 Jan (Wed)
|
Time |
Event |
| 09:30-10:30 |
"Approximation Results for Deep Neural Networks" [Abstract]
Philipp Grohs
(University of Vienna) |
| 10:30-11:00 |
Coffee Break (Venue: IAS Lobby, G/F) |
| 11:00-12:00 |
"Statistical and Computational Limits for Submatrix Localization and Sparse Matrix Detection"[Abstract]
Tony Cai (University of Pennsylvania; Senior Visiting Fellow of HKUST Jockey Club Institute for Advanced Study) |
| 12:00-14:00 |
Lunch (Self-arranged) |
| 14:00-15:00 |
"Composite Functional Gradient Learning of Generative Adversarial Models”
Tong Zhang (Tencent AI Lab) |
| 15:00-15:30 |
Refreshments (Venue: IAS Lobby, G/F) |
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11 Jan (Thu)
|
Time |
Event |
| 09:30-10:30 |
"Optimal Approximation with Sparsely Connected Deep Neural Networks"
[Abstract]
Gitta Kutyniok
(Technische Universität Berlin) |
| 10:30-11:00 |
Coffee Break (Venue: IAS Lobby, G/F) |
| 11:00-12:00 |
"Optimal Approximation of Classifier Functions by Deep ReLU Networks”
[Abstract]
Philipp Petersen (Technische Universität Berlin) |
| 12:00-14:00 |
Lunch (Self-arranged) |
| 14:00-15:00 |
"Physical Approaches to Learning and Inference"
David Schwab (CUNY Graduate Center) |
| 15:00-15:30 |
Coffee Break (Venue: IAS Lobby, G/F) |
| 15:30-17:00 |
Discussion Session (For invited speakers only) |
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12 Jan (Fri)
|
Time |
Event |
| 09:30-10:30 |
"Nonconvex Penalization and Connections to Deep Learning”
Xiaoming Huo (Georgia
Institute of Technology) |
| 10:30-10:35 |
Closing Remarks |
| 10:35-11:00 |
Coffee Break (Venue: IAS Lobby, G/F) |
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