
PhD Student in Computer Science, The University of Texas at Austin
Contact:
1 University Station C0500
Austin, TX 78712-0233
Email: 
Research:
My research interests span the areas of Statistical Machine Learning, Recommender Systems, and Graphical Models. I am particularly interested in problems involving sparse parameter estimation in a high dimensional setting, such as graphical model structure learning, as well as problems involving sparse representations of big data, such as low rank matrix factorization. Finally, I am interested in applying Graphical Models to internet scale problems involving massive data sets for social network analysis, user modeling, and personalization. My advisor is Pradeep Ravikumar.
I am also a member of the UT Algorithms and Computational Theory Group and UT Artificial Intelligence Lab.
Projects / Publications:

"High-Dimensional Sparse Inverse Covariance Estimation using Greedy Methods" [pdf] [slides] [poster]
Christopher C. Johnson, Ali Jalali, Pradeep Ravikumar - AISTATS 2012 (Oral Presentation)
"On Learning Discrete Graphical Models Using Greedy Methods" [pdf]
Ali Jalali, Christopher C. Johnson, Pradeep Ravikumar - NIPS 2011 (Spotlight)
"Greedy Structure Learning of Markov Random Fields" (Masters Thesis) [pdf]
Christopher C. Johnson (committee: Pradeep Ravikumar, Inderjit Dhillon) - 2011
"Parallel Collaborative Filtering for Streaming Data" [pdf] [code]
Christopher C. Johnson, Alex Tang, Muqeet Ali - 2011
"On Classifying the Political Sentiment of Tweets" [pdf] [code]
Christopher C. Johnson, Shilpa Shukla, Parul Shukla - 2011
"Parallel Fault Tolerant Multi Agent Reinforcement Learning" [pdf]
Christopher C. Johnson - 2011
"A Named Entity Recognizer for Semi-Structured Data" [slides]
Christopher C. Johnson, Michael Yee (MIT) - 2010
Education:
PhD in Computer Science, The University of Texas at Austin: 2010 - present
MS in Computer Science, The University of Texas at Austin: 2010 - 2011
BS in Computer Science, The University of Texas at Austin: 2002 - 2006
TA Information:
Spring 2012: SSC 321 - Introduction to Probability and Statistics
Discussion Section: Thursdays 3-4pm WCH 2.112, 4-5pm JES A203A
Personal:
Resume: