Research interests
My interests lie at the intersection of machine learning, statistics, and neuroscience. Recently, my work has focused on inference in random graphs. Here are some phrases that spring to mind to describe my interests: random graphs, semi- supervised learning, invariant representations, transfer learning, active learning, manifold learning, learning to learn.
Publications
J. W. Miller and M. T. Harrison (2010). A Practical Algorithm for Exact Inference on Tables. In JSM Proceedings, Statistical Computing Section. Alexandria, VA: American Statistical Association. (pdf) (slides)
J. W. Miller and M. T. Harrison (2011). Exact Enumeration and Sampling of Matrices with Speciļ¬ed Margins. (Technical Report) (pdf) (arXiv)
J. W. Miller (2012). Reduced Criteria for Degree Sequences. (Submitted) (pdf) (arXiv)
