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About Benjamin M. Marlin

Professor Marlin's research interests lie at the intersection of artificial intelligence, machine learning and statistics. He is particularly interested in hierarchical, probabilistic graphical models and approximate inference and learning techniques including Markov Chain Monte Carlo and variational Bayesian methods. He is also interested in non-likelihood-based estimation for intractable probabilistic models including Markov Random Fields and Restricted Boltzmann Machines. Professor Marlin works on a broad range of applications for these modeling and learning techniques including collaborative filtering and recommender systems, ranking, unsupervised structure discovery and feature induction, object recognition and image labeling, and medical informatics.


Present Assistant Professor, Department of Computer Science, University of Massachusetts Amherst


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Honors and Awards

  • 2014 Yahoo! Faculty Research and Engagement Award

Contact Information

Computer Science Building Room 234
140 Governors Drive
University of Massachusetts Amherst
Amherst, MA 01003
Tel: 413-545-4493