Andrew Dai
Andrew Dai
I work under the supervision of Amos Storkey concentrating most heavily in the area of statistical relational learning and nonparametric Bayes applied to the areas of identity disambiguation or entity resolution.
I’m also a tutor for the MLPR (Machine Learning and Probabilistic Reasoning) course.
Andrew Dai and Amos Storkey. “The Grouped Author-Topic Model for Unsupervised Entity Resolution.” In Proceedings of the 21st International Conference on Artificial Neural Networks (ICANN, 2011), Helsinki.
Klaus Macherey, Andrew Dai, David Talbot, Ashok Popat and Franz Och. “Language-Independent Compound Splitting with Morphological Operations.” In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics (ACL-11).
Andrew Dai and Amos Storkey. “Author Disambiguation: A Nonparametric Topic and Co-authorship Model.” In Proceedings of the NIPS Workshop on Applications for Topic Models: Text and Beyond, Whistler, Canada, 2009.
Status
Ph.D. student
Institution
Institute of Adaptive and Neural Computation (ANC) at the University of Edinburgh.
Interests
Graphical models
Boltzmann machines
Statistical relational learning
Dirichlet processes
Topic models
Email me at a.dai@ignoreed.ac.uk