Triangle Machine Learning Day: September 20, 2019

** Deadline for applications for this event is August 20, 2019 **

The event is open to anyone interested in machine learning working in the Triangle area (Durham, Raleigh, Chapel Hill.)

Location

This event will be held at Penn Pavilion on the campus of Duke University.

Description

Modeled after similar events occurring in New York and Boston, the goal is to bring together researchers and applied scientists working in all different areas of machine learning, including industrial applications, academic theory, and everything in between, for a day of technical talks and posters.

Topics include predictive modeling and data science applications, algorithm design, reinforcement learning, natural language processing, etc.

The program will include a poster session, and anyone wishing to contribute a poster must submit an abstract; not all abstracts will be selected as posters, depending on space limitations.
The due date for poster submissions is August 29, 2019. Poster selections will be announced on September 5th.

Heavy snacks will be provided for all participants, lunch and breakfast are on your own. There are a large number of restaurants at the neighboring Brodhead Center.

The event will run for the full day. Parking on Duke’s campus will be provided for all accepted participants.

Contact either Sue McDonald for logistics questions or Professor Cynthia Rudin for technical questions involving this event.

Confirmed speakers for this event include:

  • Nilay Argon, UNC-Chapel Hill, Dept. of Statistics and Operations Research
  • Sayan Mukherjee, Duke, Dept. of Statistical Science
  • David Page, Duke, Chair, Dept. of Biostatistics & Bioinformatics
  • Xipeng Shen, N.C. State, Dept. of Computer Science
  • Ted Enamorado, UNC-Chapel Hill, Dept. of Political Science
  • The Duke Data Science Team

** Notice of Consent **

SAMSI values the proprietary and intellectual property of our participants. The materials presented at our various workshops and programs are in high demand by event participants and the applied mathematics and statistics community that comprise our audience. Therefore, we encourage all of our invited speakers to share their materials, as appropriate, in order to pass along the valuable research that is being done in your field of study and is a focus of this event. In addition, unless SAMSI is give written approval from our speakers we ARE NOT authorized to share the materials presented at this event.

Please click HERE to complete a SAMSI Consent form for this event. SAMSI appreciates your time and willingness to share this valuable content with others and we hope you enjoy this event!
For any questions or concerns about our consent policy, please contact us at: communications@samsi.info

** Planning for this event is ongoing. This page will be updated as new information is made available **