Brian Kulis

Brian Kulis is broadly interested in all aspects of machine learning, with an emphasis on applications to computer vision. Most of his research focuses on making it easier to analyze large-scale data. A major focus is on large-scale optimization for core problems in machine learning such as metric learning, content-based search, clustering, and online learning. He is also interested in large-scale graphical models, Bayesian inference, and Bayesian nonparametrics.