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Statistical Network Models
Kevin Murphy · Lise Getoor · Eric Xing · Raphael Gottardo

Sat Dec 08 07:30 AM -- 06:30 PM (PST) @ Hilton: Cheakamus
Event URL: http://www.cs.ubc.ca/~murphyk/nips07NetworkWorkshop/ »

The purpose of the workshop is to bring together people from different disciplines - computer science, statistics, biology, physics, social science, etc - to discuss foundational issues in the modeling of network and relational data. In particular, we hope to discuss various open research issues, such as (1) How to represent graphs at varying levels of abstraction, whose topology is potentially condition-specific and time-varying (2) How to combine techniques from the graphical model structure learning community with techniques from the statistical network modeling community (3) How to integrate relational data with other kinds of data (e.g., gene expression or text data)

Author Information

Kevin Murphy (Google)
Lise Getoor (UC Santa Cruz)

Lise Getoor is an Associate Professor in the Computer Science Department and the Institute for Advanced Computer Studies at the University of Maryland, College Park. Her research areas include machine learning, reasoning under uncertainty, and database management. She is co-editor with Ben Taskar of the book 'An Introduction to Statistical Relational Learning', MIT Press, 2007. She is a board member of the International Machine Learning Society, and has served as Machine Learning Journal Action Editor, Associate Editor for the ACM Transactions of Knowledge Discovery from Data, JAIR Associate Editor, and on the AAAI Council. She is a recipient of several best paper awards, an NSF Career Award and a National Physical Sciences Consortium Fellowship. She received her PhD from Stanford University, her Master’s degree from the University of California, Berkeley, and her undergraduate degree from the University of California, Santa Barbara.

Eric Xing (Petuum Inc. / Carnegie Mellon University)
Raphael Gottardo (University of British Columbia)

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