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All publications by Erik Sudderth
authors venues years



Proteins, Particles, and Pseudo-Max-Marginals: A Submodular Approach
Jason Pacheco and Erik Sudderth
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Scalable Adaptation of State Complexity for Nonparametric Hidden Markov Models
Michael C. Hughes, William T. Stephenson and Erik Sudderth
Advances in Neural Information Processing Systems 28, 2015


Preserving Modes and Messages via Diverse Particle Selection
Jason Pacheco, Silvia Zuffi, Michael Black and Erik Sudderth
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Efficient Online Inference for Bayesian Nonparametric Relational Models
Dae I. Kim, Prem Gopalan, David Blei and Erik Sudderth
Advances in Neural Information Processing Systems 26, 2013


Memoized Online Variational Inference for Dirichlet Process Mixture Models
Michael Hughes and Erik Sudderth
Advances in Neural Information Processing Systems 26, 2013