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2019 NCTS & Sinica Summer Course: Topics on Mathematical Foundation of Machine Learning

R440 & 201, Astronomy-Mathematics Building, NTU

Jun Andrew Kitagawa (Michigan State University)
Yu-Min Chung (University of North Carolina at Greensboro)
Gi-Ren Liu (National Cheng Kung University)
Yuan-Chung Sheu (National Yang Ming Chiao Tung University )
Yen-Chi Chen (University of Washington)
Hsi-Wei Hsieh (The Johns Hopkins University)

Jungkai Chen (National Taiwan University & NCTS)
Chii-Ruey Hwang (Academia Sinica)
Gi-Ren Liu (National Cheng Kung University)

To lecture frontier topics that people have interest in the mathematical foundation of machine learning nowadays.
List of lecturers & schedule:
1. Jun Kitagawa (Michigan State University)
Topic: Optimal Transport and Nonlinear Differential Geometry Model for Data Analysis
Date: 5/28, 10:00-12:00
Venue: Rm 440, NCTS
2. Hsi-Wei Hsieh (The Johns Hopkins University) 
Topic: Diffeomorphic Matching and Discrete Approximation of Geometric Distributions
Date: 6/3, 14:00-16:00
Venue: Rm 722, Sinica
3. Yu-Ming Chung (UNC Greensboro)
Topic: Topological Data Analysis 
Date: 6/11 & 6/13, 13:30-14:45
Venue: Rm 440, NCTS
4. Gi-Ren Liu (NCKU)
Topic: Scattering Transform, a Novel Harmonic Analysis Model proposed in 2012 for understanding Convolutional Neural Network 
Date: 6/14 & 6/17, 13:30-14:45
Venue: Rm 440 (6/14) & Rm 201 (6/17), NCTS
5. Yen-Chi Chen (University of Washington)
Topic: Nonparametric Statistics and Geometric Estimation
Date:7/2, 10:00-11:15
Venue: Rm 440, NCTS
6. Yuan-Chung Sheu (NCTU)
Topic: Hidden Markov Model 
Date: 7/3, 10:00-12:00
Venue: Rm 201, NCTS

Poster: events_3_1741906032505104979.pdf

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