• Overview
• Call for papers
• Schedule
• Invited Speakers
• Committee

December 11, 2009 in Whistler, BC, Canada

Overview

Recent research in machine learning and statistics has seen the proliferation of computational methods for analyzing networks and learning with graphs. These methods support progress in many application areas, including the social sciences, biology, medicine, neuroscience, physics, finance, and economics.

The primary goal of the workshop is to actively promote a concerted effort to address statistical, methodological and computational issues that arise when modeling and analyzing large collection of data that are largely represented as static and/or dynamic graphs. To this end, we aim at bringing together researchers from applied disciplines such as sociology, economics, medicine and biology, together with researchers from more theoretical disciplines such as mathematics and physics, within our community of statisticians and computer scientists. Different communities use diverse ideas and mathematical tools; our goal is to to foster cross-disciplinary collaborations and intellectual exchange.

Presentations will include novel graph models, the application of established models to new domains, theoretical and computational issues, limitations of current graph methods and directions for future research.

Online Submissions

We welcome the following types of papers:

• Research papers that introduce new models or apply established models to novel domains,
• Research papers that explore theoretical and computational issues, or
• Position papers that discuss shortcomings and desiderata of current approaches, or propose new directions for future research.

All submissions will be peer-reviewed; exceptional work will be considered for oral presentation. We encourage authors to emphasize the role of learning and its relevance to the application domains at hand. In addition, we hope to identify current successes in the area, and will therefore consider papers that apply previously proposed models to novel domains and data sets.

Submission format

Submissions should be 4-to-8 pages long, and adhere to NIPS format (http://nips.cc/PaperInformation/StyleFiles).

Submission procedure

Please email your submissions to: nipsgraphs2009@gmail.com

Important dates

• Deadline for Submissions: Wednesday, November 4, 2009
• Notification of Decision: Friday, November 6 2009

Workshop format

This is a one-day workshop. The program will feature 4-6 invited talks (see the list below), poster spotlights and a poster session, and a panel discussion. All submissions will be peer-reviewed; exceptional work will be considered for oral presentation. More details about the program will be announced soon.

Invited speakers (confirmed)

• Jennifer Chayes (Microsoft Research)
• Matthew Jackson (Department of Economics, Stanford University)
• Ravi Kumar (Yahoo! Research)
• Martina Morris (Departments of Sociology and Statistics, University of Washington)
• Cosma Shalizi (Department of Statistics, CMU)

Organizers

• Edoardo Airoldi, Harvard University
• Jon Kleinberg, Cornell University
• Jure Leskovec, Stanford University
• Josh Tenenbaum, MIT

Contact

You can reach the organizers at nipsgraphs2009@gmail.com

Workshop is kindly supported by: