Also known as: mrchrisjohnson
As both a researcher and an engineer I am interested in problems of high dimension and efficient methods of scaling learning under the presence of massive data sets. I am particularly interested in the scalability, design, and architecture decisions that arise within real-time recommender systems such as music recommendation. In my free time I am an avid rock climber, photographer, and music lover. I enjoy traveling across the world to remote climbing destinations, experiencing music from a multitude of cultures, and snapping a corpus of photos along the way. Selected Publications Christopher C. Johnson, Ali Jalali, Pradeep Ravikumar, "High-Dimensional Sparse Inverse Covariance Estimation using Greedy Methods", AISTATS (selected for oral) Ali Jalali, Christopher C. Johnson, Pradeep Ravikumar, "On Learning Discrete Graphical Models Using Greedy Methods", NIPS (spotlight paper) See httpwww.cs.utexas.educjohnson for more information.
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