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All publications by David Dunson
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Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors
Piyush Rai, Yingjian Wang, Shengbo Guo, Gary Chen, David Dunson and Lawrence Carin
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Scalable and Robust Bayesian Inference via the Median Posterior
Stanislav Minsker, Sanvesh Srivastava, Lizhen Lin and David Dunson
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Locally Adaptive Bayesian Multivariate Time Series
Daniele Durante, Bruno Scarpa and David Dunson
Advances in Neural Information Processing Systems 26, 2013


Multiscale Dictionary Learning for Estimating Conditional Distributions
Francesca Petralia, Joshua T. Vogelstein and David Dunson
Advances in Neural Information Processing Systems 26, 2013