I am a Research Scientist at Facebook, in Menlo Park, California. I completed my Ph.D.
in Computer Science at Carnegie Mellon University, on the subject
of machine learning methods for personalization. My advisor was Carlos Guestrin, and I was
a member of the SELECT Lab.
I've co-organized NIPS workshops in 2014 on Personaliation: Methods and Applications, and in 2013 and 2012 on social networks and social media analysis. In 2011, I co-organized the Workshop on Enriching Information Retrieval (ENIR 2011) at SIGIR 2011, in Beijing, China, July 28, 2011.
In the summer of 2011, I interned at Microsoft Research Cambridge, working with Ralf Herbrich on transparent user models for personalization. From February 2007 through August 2008, I took a leave of absence from the Ph.D. program in order to spend some time in industry. I spent three months at Google in Manhattan, where I worked on Personalized Search. This was followed by a year at MITRE in McLean, Virginia, where I applied machine learning to national policy problems, primarily working with the Securities and Exchange Commission and other agencies of the federal government.
I received undergraduate degrees in Computer Science and Electrical and Computer Engineering, with a minor in political science, from Carnegie Mellon University in 2004. I received a Masters degree in Computer Science, also from Carnegie Mellon, in 2006.
Yisong Yue, Chong Wang, Khalid El-Arini, Carlos Guestrin Personalized Collaborative Clustering. To appear in Proc. of 23rd International World Wide Web Conference (WWW 2014), April 2014, Seoul, Korea. [pdf]
Khalid El-Arini, Min Xu, Emily B. Fox, Carlos Guestrin Representing Documents Through Their Readers. In Proc. of 19th International Conference on Knowledge Discovery and Data Mining (KDD 2013), August 2013, Chicago, Illinois. [pdf] [suppl] [slides]
Khalid El-Arini, Ulrich Paquet, Ralf Herbrich, Jurgen Van Gael and Blaise Agüera y Arcas. Transparent User Models for Personalization. In Proc. of 18th International Conference on Knowledge Discovery and Data Mining (KDD 2012), August 2012, Beijing, China. [pdf] [suppl] [slides]
Khalid El-Arini and Carlos Guestrin. Beyond Keyword Search: Discovering Relevant Scientific Literature. In Proc. of 17th International Conference on Knowledge Discovery and Data Mining (KDD 2011), August 2011, San Diego, California. [pdf] [suppl] [slides]
Khalid El-Arini, Gaurav Veda, Dafna Shahaf and Carlos Guestrin. Turning Down the Noise in the Blogosphere. In Proc. of 15th International Conference on Knowledge Discovery and Data Mining (KDD 2009), June 2009, Paris, France. [pdf] [suppl]
Khalid El-Arini, Andrew W. Moore and Ting Liu. Autonomous Visualization. In Proc. European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2006), September 2006, Berlin, Germany. [pdf] [suppl]
Khalid El-Arini and Kevin Killourhy. Bayesian Detection of Router Configuration Anomalies. In Proc. ACM SIGCOMM Workshop on Mining Network Data (MineNet-05), August 2005, Philadelphia, Pennsylvania. [pdf] [suppl]
Khalid El-Arini, Emily B. Fox and Carlos Guestrin. Concept Modeling with Superwords. arXiv:1204.2523, April 2012. [arXiv]
Beyond Keyword Search: Taming Information Overload with Rich User Interactions (RAIN Seminar, Stanford University, 2 May 2012)
An introductory tutorial on Dirichlet process mixture models (November 2005, updated October 2008) [slides]