We are pleased to invite you to the online Data Science Workshop! We will offer lectures from world-class statisticians and experts in information theory. Each lecture has a tutorial and an advanced portion. Two Data Science students will present on their research as well. Everyone interested in Statistics or Data Science is welcome to join us virtually. The presentation materials will be available online 1 week in advance. We are delighted to have your questions! We look forward to extending you a warm welcome!
世界トップレベルの統計学者と情報理論の専門家によるデータ科学のワークショップを、オンライにて開催いたします。各講義が、初心者向け～上級者向けの内容で構成されています。また、データ科学分野の学生の研究発表も行います。どなたでも大歓迎ですので、ぜひこの機会にデータ科学を学んでみませんか。お申込みいただいた方にはワークショップの約1週間前から資料を公開しますので、事前にご確認いただき、ご質問がございましたらぜひ当日お聞かせください。皆様のご参加をお待ちしております。
Day Dec.12, 2020
Time 13:00-17:35 (JST)
Flyer: https://www.waseda.jp/inst/cds/assets/uploads/2020/11/AcademiaSinicaWS_1117.pdf
Program
[Moderators]
・Associate Professor Xiaoling Dou (Center for Data Science, Waseda University)
・Research Fellow Su-Yun Huang (Institute of Statistical Science, Academia Sinica)
13:00-13:05 Opening Remarks
Director Chun-houh Chen (Institute of Statistical Science, Academia Sinica)
13:05-14:15 Session I
Computational EEG Analysis for Characterizing Cognitive Activity: Methods and Applications
Dr. Chih-Hsin Tsai (Academia Sinica)
An Attention Algorithm for Solving Large Scale Structured L_0-norm Penalty Estimation Problems
Dr. Tso-Jung Yen (Academia Sinica)
14:20-15:30 Session II
Bayes Optimal Estimation of Intervention Effects and its Approximation
Associate Professor Shunsuke Horii (Waseda University)
Statistical Models for Image Processing: Hierarchical Representation of Global and Local Structures of Images
Assistant Professor Yuta Nakahara (Waseda University)
15:35-16:45 Session III
Nonparametric Variable Selection via Sufficient Dimension Reduction for Cross-sectional Survival Data Without Follow-up
Dr. Ming-Yueh Huang (Academia Sinica)
Dimension Reduction Method for Noisy High-dimensional Images and Application to Cryogenic Electron Microscopy
Dr. Szu-Chi Chung (Academia Sinica)
16:50-17:30 Session IV (Student Session)
A Proposal of Improved Latent LSTM Allocation Model to Learn Browsing History Data of Flower EC Site
Ms. Zhiying Zhang (Waseda University)
Construction of Demand Forecast Model of Tokyo Taxi Based on Probe Data Analysis
Mr. Reo Iizuka (Waseda University)
17:30-17:35 Closing Remarks
Director Toshiyasu Matsushima (Center for Data Science, Waseda University)
Registration
- For registration, visit https://bit.ly/2IlkP93
- Deadline is 12:00 on Dec. 11 (JST)
Inquiries
Center for Data Science, Waseda University
早稲田大学データ科学センター
E-mail: [email protected]
