David B. Dunson
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
30
Venues
6
Active years
2007–2024
Best venue rank
A*
Where they publish
Papers
30 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICML | Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI. | Theodore Papamarkou, Maria Skoularidou, Konstantina Palla, Laurence Aitchison, Julyan Arbel, David B. Dunson, Maurizio Filippone, Vincent Fortuin, Philipp Hennig, Jos Miguel Hernndez-Lobato, Aliaksandr Hubin, Alexander Immer, Theofanis Karaletsos, Mohammad Emtiyaz Khan, Agustinus Kristiadi, Yingzhen Li, Stephan Mandt, Christopher Nemeth, Michael A. Osborne, Tim G. J. Rudner, David Rgamer, Yee Whye Teh, Max Welling, Andrew Gordon Wilson, Ruqi Zhang |
| 2021 | AISTATS | Statistical Guarantees for Transformation Based Models with applications to Implicit Variational Inference. | Sean Plummer, Shuang Zhou, Anirban Bhattacharya, David B. Dunson, Debdeep Pati |
| 2020 | ICML | Fiedler Regularization: Learning Neural Networks with Graph Sparsity. | Edric Tam, David B. Dunson |
| 2019 | ICMLA | Locally Convex Kernel Mixtures: Bayesian Subspace Learning. | Duy Hoang Thai, Hau-Tieng Wu, David B. Dunson |
| 2016 | AISTATS | Variational Gaussian Copula Inference. | Shaobo Han, Xuejun Liao, David B. Dunson, Lawrence Carin |
| 2016 | AISTATS | Scalable geometric density estimation. | Ye Wang, Antonio Canale, David B. Dunson |
| 2016 | ICML | No penalty no tears: Least squares in high-dimensional linear models. | Xiangyu Wang, David B. Dunson, Chenlei Leng |
| 2015 | AISTATS | WASP: Scalable Bayes via barycenters of subset posteriors. | Sanvesh Srivastava, Volkan Cevher, Quoc Tran-Dinh, David B. Dunson |
| 2015 | RecSys | Uncovering Systematic Bias in Ratings across Categories: a Bayesian Approach. | Fangjian Guo, David B. Dunson |
| 2014 | AISTATS | Bayesian Logistic Gaussian Process Models for Dynamic Networks. | Daniele Durante, David B. Dunson |
| 2014 | ICIP | Digital cradle removal in X-ray images of art paintings. | Rujie Yin, David B. Dunson, Bruno Cornelis, Bill Brown, Noelle Ocon, Ingrid Daubechies |
| 2014 | ICML | Scalable and Robust Bayesian Inference via the Median Posterior. | Stanislav Minsker, Sanvesh Srivastava, Lizhen Lin, David B. Dunson |
| 2014 | ICML | Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors. | Piyush Rai, Yingjian Wang, Shengbo Guo, Gary Chen, David B. Dunson, Lawrence Carin |
| 2013 | AISTATS | Bayesian learning of joint distributions of objects. | Anjishnu Banerjee, Jared Murray, David B. Dunson |
| 2013 | AISTATS | Diagonal Orthant Multinomial Probit Models. | James E. Johndrow, David B. Dunson, Kristian Lum |
| 2012 | ICML | Ensemble Methods for Convex Regression with Applications to Geometric Programming Based Circuit Design. | Lauren Hannah, David B. Dunson |
| 2012 | ICML | Bayesian Watermark Attacks. | Ivo Shterev, David B. Dunson |
| 2012 | ICML | Lognormal and Gamma Mixed Negative Binomial Regression. | Mingyuan Zhou, Lingbo Li, David B. Dunson, Lawrence Carin |
| 2011 | ICASSP | Covariate-dependent dictionary learning and sparse coding. | Mingyuan Zhou, Hongxia Yang, Guillermo Sapiro, David B. Dunson, Lawrence Carin |
| 2011 | ICML | Topic Modeling with Nonparametric Markov Tree. | Haojun Chen, David B. Dunson, Lawrence Carin |
| 2011 | ICML | The Hierarchical Beta Process for Convolutional Factor Analysis and Deep Learning. | Bo Chen, Gungor Polatkan, Guillermo Sapiro, David B. Dunson, Lawrence Carin |
| 2011 | ICML | Approximate Dynamic Programming for Storage Problems. | Lauren Hannah, David B. Dunson |
| 2011 | ICML | Tree-Structured Infinite Sparse Factor Model. | XianXing Zhang, David B. Dunson, Lawrence Carin |
| 2009 | ICASSP | Music analysis with a Bayesian dynamic model. | Lu Ren, David B. Dunson, Scott Lindroth, Lawrence Carin |
| 2009 | ICASSP | Multi-task classification with infinite local experts. | Chunping Wang, Qi An, Lawrence Carin, David B. Dunson |
| 2008 | ICML | Hierarchical kernel stick-breaking process for multi-task image analysis. | Qi An, Chunping Wang, Ivo Shterev, Eric Wang, Lawrence Carin, David B. Dunson |
| 2008 | ICML | Multi-task compressive sensing with Dirichlet process priors. | Yuting Qi, Dehong Liu, David B. Dunson, Lawrence Carin |
| 2008 | ICML | The dynamic hierarchical Dirichlet process. | Lu Ren, David B. Dunson, Lawrence Carin |
| 2007 | ICML | Multi-task learning for sequential data via iHMMs and the nested Dirichlet process. | Kai Ni, Lawrence Carin, David B. Dunson |
| 2007 | ICML | The matrix stick-breaking process for flexible multi-task learning. | Ya Xue, David B. Dunson, Lawrence Carin |