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All publications by Hanna M. Wallach
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Topic-Partitioned Multinetwork Embeddings
Peter Krafft, Juston Moore, Bruce Desmarais and Hanna M. Wallach
Advances in Neural Information Processing Systems 25, 2012


An Alternative Prior Process for Nonparametric Bayesian Clustering
Hanna M. Wallach, Shane Jensen, Lee Dicker and Katherine A. Heller
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Learning the Structure of Deep Sparse Graphical Models
Ryan P. Adams, Hanna M. Wallach and Zoubin Ghahramani
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Evaluation methods for topic models
Hanna M. Wallach, Iain Murray, Ruslan Salakhutdinov and David M. Mimno
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Rethinking LDA: Why Priors Matter
Andrew Mccallum, David M. Mimno and Hanna M. Wallach
Advances in Neural Information Processing Systems 22, 2009


Topic modeling: beyond bag-of-words
Hanna M. Wallach
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006