David B. Dunson

Mu Niu, Pokman Cheung, Lizhen Lin, Zhenwen Dai, Neil D. Lawrence, David B. Dunson:
Intrinsic Gaussian processes on complex constrained domains. CoRR abs/1801.01061 (2018)

Jun Lu, Meng Li, David B. Dunson:
Reducing over-clustering via the powered Chinese restaurant process. CoRR abs/1802.05392 (2018)

Shaobo Han, David B. Dunson:
Multiresolution Tensor Decomposition for Multiple Spatial Passing Networks. CoRR abs/1803.01203 (2018)

Jieren Xu, Yitong Li, David B. Dunson, Ingrid Daubechies, Haizhao Yang:
Non-Oscillatory Pattern Learning for Non-Stationary Signals. CoRR abs/1805.08102 (2018)

Leo L. Duan, David B. Dunson:
Bayesian Distance Clustering. CoRR abs/1810.08537 (2018)

Rihui Ou, Alexander L. Young, David B. Dunson:
Clustering-Enhanced Stochastic Gradient MCMC for Hidden Markov Models with Rare States. CoRR abs/1810.13431 (2018)

Xiangyu Wang, David B. Dunson, Chenlei Leng:
DECOrrelated feature space partitioning for distributed sparse regression. CoRR abs/1602.02575 (2016)

Shiwen Zhao, Barbara E. Engelhardt, Sayan Mukherjee, David B. Dunson:
Fast moment estimation for generalized latent Dirichlet models. CoRR abs/1603.05324 (2016)

James E. Johndrow, Aaron Smith, Natesh S. Pillai, David B. Dunson:
Inefficiency of Data Augmentation for Large Sample Imbalanced Data. CoRR abs/1605.05798 (2016)

Fangjian Guo, Xiangyu Wang, Kai Fan, Tamara Broderick, David B. Dunson:
Boosting Variational Inference. CoRR abs/1611.05559 (2016)

Xiangyu Wang, Chenlei Leng, David B. Dunson:
On the consistency theory of high dimensional variable screening. CoRR abs/1502.06895 (2015)

Xiangyu Wang, David B. Dunson, Chenlei Leng:
No penalty no tears: Least squares in high-dimensional linear models. CoRR abs/1506.02222 (2015)

Shaobo Han, Xuejun Liao, David B. Dunson, Lawrence Carin:
Variational Gaussian Copula Inference. CoRR abs/1506.05860 (2015)

Rajarshi Guhaniyogi, Shaan Qamar, David B. Dunson:
Bayesian Conditional Density Filtering for Big Data. CoRR abs/1401.3632 (2014)

Stanislav Minsker, Sanvesh Srivastava, Lizhen Lin, David B. Dunson:
Robust and scalable Bayes via a median of subset posterior measures. CoRR abs/1403.2660 (2014)

Laurent Jacques, Christophe De Vleeschouwer, Yannick Boursier, Prasad Sudhakar, C. De Mol, Aleksandra Pizurica, Sandrine Anthoine, Pierre Vandergheynst, Pascal Frossard, Cagdas Bilen, Srdan Kitic, Nancy Bertin, Rémi Gribonval, Nicolas Boumal, Bamdev Mishra, Pierre-Antoine Absil, Rodolphe Sepulchre, Shaun Bundervoet, Colas Schretter, Ann Dooms, Peter Schelkens, Olivier Chabiron, François Malgouyres, Jean-Yves Tourneret, Nicolas Dobigeon, Pierre Chainais, Cédric Richard, Bruno Cornelis, Ingrid Daubechies, David B. Dunson, Marie Danková, Pavel Rajmic, Kévin Degraux, Valerio Cambareri, Bert Geelen, Gauthier Lafruit, Gianluca Setti, Jean-François Determe, Jérôme Louveaux, François Horlin, Angélique Drémeau, Patrick Héas, Cédric Herzet, Vincent Duval, Gabriel Peyré, Alhussein Fawzi, Mike E. Davies, Nicolas Gillis, Stephen A. Vavasis, Charles Soussen, Luc Le Magoarou, Jingwei Liang, Jalal Fadili, Antoine Liutkus, David Martina, Sylvain Gigan, Laurent Daudet, Mauro Maggioni, Stanislav Minsker, Nate Strawn, C. Mory, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Ignace Loris, Samuel Vaiter, Mohammad Golbabaee, Dejan Vukobratovic:
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). CoRR abs/1410.0719 (2014)

Xiangyu Wang, Peichao Peng, David B. Dunson:
Median Selection Subset Aggregation for Parallel Inference. CoRR abs/1410.6604 (2014)

Eric F. Lock, David B. Dunson:
Bayesian Consensus Clustering. CoRR abs/1302.7280 (2013)

Rajarshi Guhaniyogi, David B. Dunson:
Bayesian Compressed Regression. CoRR abs/1303.0642 (2013)

Bruno Cornelis, Yun Yang, Joshua T. Vogelstein, Ann Dooms, Ingrid Daubechies, David B. Dunson:
Bayesian crack detection in ultra high resolution multimodal images of paintings. CoRR abs/1304.5894 (2013)

David C. Kessler, Jack A. Taylor, David B. Dunson:
Learning Densities Conditional on Many Interacting Features. CoRR abs/1304.7230 (2013)

Francesca Petralia, Joshua T. Vogelstein, David B. Dunson:
Multiscale Dictionary Learning for Estimating Conditional Distributions. CoRR abs/1312.1099 (2013)

Xiangyu Wang, David B. Dunson:
Parallel MCMC via Weierstrass Sampler. CoRR abs/1312.4605 (2013)

Lauren Hannah, David B. Dunson:
Ensemble Methods for Convex Regression with Applications to Geometric Programming Based Circuit Design. CoRR abs/1206.4645 (2012)

Ivo Shterev, David B. Dunson:
Bayesian Watermark Attacks. CoRR abs/1206.4662 (2012)

Mingyuan Zhou, Lingbo Li, David B. Dunson, Lawrence Carin:
Lognormal and Gamma Mixed Negative Binomial Regression. CoRR abs/1206.6456 (2012)