Program Schedule

Last updated: 9 Jan 2018

Venue: 

IAS Lecture Theater, G/F, Lo Ka Chung Building, Lee Shau Kee Campus, HKUST

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)
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)
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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