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All publications by Jordan L. Boyd-graber
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Learning a Concept Hierarchy from Multi-labeled Documents
Viet-an Nguyen, Jordan L. Boyd-graber, Philip Resnik and Jonathan Chang
Advances in Neural Information Processing Systems 27, 2014


Online Latent Dirichlet Allocation with Infinite Vocabulary
Ke Zhai and Jordan L. Boyd-graber
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Modeling Images using Transformed Indian Buffet Processes
Ke Zhai, Yuening Hu, Sinead Williamson and Jordan L. Boyd-graber
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Reading Tea Leaves: How Humans Interpret Topic Models
Jonathan Chang, Sean Gerrish, Chong Wang, Jordan L. Boyd-graber and David M. Blei
Advances in Neural Information Processing Systems 22, 2009


Syntactic Topic Models
Jordan L. Boyd-graber and David M. Blei
Advances in Neural Information Processing Systems 21, 2008