Institute for Mathematical Sciences Event Archive
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Workshop on Living Analytics: Analyzing High-Dimensional Behavioral and Other Data from Dynamic Network Environments 1
(26 - 28 February 2014)
Jointly organized with Living Analytics Research Centre, SMU
Organizing Committee · Visitors and Participants · Overview · Activities · Venue
This program is co-sponsored with |
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- Stephen E. Fienberg (Carnegie Mellon University)
- Ee-Peng Lim (Singapore Management University)
- Wei-Liem Loh (National University of Singapore)
"Big data" come in a variety of forms, but especially common are large high-dimensional electronic databases, e.g., involving transactions or genetic and related medical data, where the units of interest exist in a networked environment. Analytical statistical methods and machine learning tools for analyzing such data involve finding low-dimensional representations and the direct exploitation of the network links to understand dependencies among units.  Â
The Living Analytics Research Centre (LARC), which is jointly operated by Carnegie Mellon University and Singapore Management University, has been especially focused on the development and use of such methods for analyzing data from commercial partners in Singapore. Experimenting in such dynamic network environments is a special problem of interest to LARC and its researchers and commercial partners.
The aims of the proposed program is to facilitate such research by
- Introducing current living analytics research activities to other mathematical science, machine learning, and statistical researchers in Singapore.
- Broadening the statistical research underpinnings of models and computational algorithms for living analytics research and other research activities involving the analysis of large high-dimensional databases.
- Foster interaction among scientists developing methodology for "big data" problems using living analytics as a focal point.
- Chart new directions of research; and explore possible collaborations, especially among the different groups.
The two-day workshop will be hosted by LARC and IMS on the following days:
Date |
Venue |
27 Feb 2014 |
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28 Feb 2014 |
University Hall Auditorium, Lee Kong Chian Wing, Level 2 |
Invited Speakers
- Jim Berger (Duke University)
- Richard DeVeaux (Williams College)
- Qirong Ho (Carnegie Mellon University)
- Steven Hoi (Nanyang Technological University)
- Jing Jiang (Singapore Management University)
- Irwin King (Chinese University of Hong Kong)
- Samuel Kou (Harvard University)
- Wee Sun Lee (National University of Singapore)
- Shou-De Lin (National Taiwan University)
- Siyuan Liu (Carnegie Mellon University)
- Kerrie Mengerson (Queensland Inst. Tech)
- Eric Xing (Carnegie Mellon University)
- Feida Zhu (Singapore Management University)
Thursday, 27 Feb 2014 |
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09:00am - 10:00am |
Welcome by Program Organizers |
10:00am - 10:30am |
--- Coffee Break --- |
10:30am - 11:30am |
Gaussian process emulation of models with massive output |
11:30am - 12:15pm |
Statistical computing in protein folding |
12:15pm - 01:45pm |
--- Lunch Reception at SMU --- |
01:45pm - 02:30pm |
Point-of-interest recommendation in location-based social networks (PDF) |
02:30pm - 03:15pm |
Learning-based approaches for link discovery given unlabelled data (PDF) |
03:15pm - 03:45pm |
--- Coffee Break --- |
03:45pm - 04:15pm |
Real-time bursty topic detection on social media |
04:15pm - 04:45pm |
More effective distributed ML via a stale synchronous parallel parameter server (PDF) |
04:45pm - 05:15pm |
Large-scale social identity linkage via heterogeneous behavior modeling (PDF) |
05:15pm - 06:00pm |
Poster & Demo Session |
06:00pm - 09:00pm |
Dinner Reception |
Friday, 28 Feb 2014 |
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09:00am - 10:00am |
On the algorithmic and system interface of big learning |
10:00am - 10:30am |
--- Coffee Break --- |
10:30am - 11:15am |
Bayesian approaches to describing complex problems |
11:15am - 12:00nn |
Active learning for probabilistic models (PDF) |
12:00nn - 01:00pm |
--- Lunch Reception at University Hall --- |
01:00pm - 01:30pm |
Mining viewpoints from online forums |
01:30pm - 02:00pm |
Online learning for big data and living analytics (PDF) |
02:00pm - 02:30pm |
--- Coffee Break --- |
02:30pm - 05:30pm |
Tutorial: Successful data mining in practice |
05:30pm - 05:45pm |
Closing Remarks |
This workshop is free for all participants from academic institutions.
All other participants are required to pay a registration fee of S$150 (excluding 7% GST). The registration will include entry to all workshop activities, including dinner reception. Enjoy a group discount of 20% for 5 or more registrations from the same billing organisation!
Online Registration is closed.
- Ngee Ann Kongsi Auditorium, School of Accountancy, SMU (27 Feb 2014)
- University Hall Auditorium, Lee Kong Chian Wing, Level 2, 21 Lower Kent Ridge Road, S(119077), NUS (28 Feb 2014)
Organizing Committee · Visitors and Participants · Overview · Activities · Venue
