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David B. Dunson

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Logistic-beta processes for modeling dependent random probabilities with beta marginals

Feb 10, 2024
Changwoo J. Lee, Alessandro Zito, Huiyan Sang, David B. Dunson

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Bayesian Transfer Learning

Dec 20, 2023
Piotr M. Suder, Jason Xu, David B. Dunson

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Proximal Algorithms for Accelerated Langevin Dynamics

Nov 28, 2023
Duy H. Thai, Alexander L. Young, David B. Dunson

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Sequential Gibbs Posteriors with Applications to Principal Component Analysis

Oct 19, 2023
Steven Winter, Omar Melikechi, David B. Dunson

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Machine Learning and the Future of Bayesian Computation

Apr 21, 2023
Steven Winter, Trevor Campbell, Lizhen Lin, Sanvesh Srivastava, David B. Dunson

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Ellipsoid fitting with the Cayley transform

Apr 20, 2023
Omar Melikechi, David B. Dunson

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Accelerated Algorithms for Convex and Non-Convex Optimization on Manifolds

Oct 18, 2020
Lizhen Lin, Bayan Saparbayeva, Michael Minyi Zhang, David B. Dunson

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Extended Stochastic Block Models

Jul 16, 2020
Sirio Legramanti, Tommaso Rigon, Daniele Durante, David B. Dunson

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A generalized Bayes framework for probabilistic clustering

Jun 09, 2020
Tommaso Rigon, Amy H. Herring, David B. Dunson

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Classification Trees for Imbalanced and Sparse Data: Surface-to-Volume Regularization

Apr 26, 2020
Yichen Zhu, David B. Dunson

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