Jason Eisner
Dept: Computer Science, Cognitive Science | Centers: CLSP, HLTCOE, MINDS
Research interests: Structured prediction (including inference over unbounded objects), graphical models, policy learning for fast approximate inference, nonparametric Bayes, grammar induction, unsupervised learning, interactive learning
Applications: Natural Language