Experience
    Education
    Bio
    Research Interests
    Structured prediction
    Latent variable models
    Convex optimization
    Approximate inference
    Combining generative and discriminative methods / frequentist and Bayesian statistics -- see the NIPS 2009 workshop on The Generative and Discriminative Learning Interface that I have co-organized, and my AISTATS 2011 paper on the loss-calibrated Bayesian below.
    Applications: NLP, information retrieval, computer vision, computational biology