← Authors

David B. Dunson

34 papers · 2009–2024 · 2 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (20) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (2) πŸƒ Academic Marathon (15) 🐝 Cross-Pollinator (15) 🏠 Conference Loyalist (20) πŸ”¬ Deep Specialist (14) 🌱 Topic Pioneer πŸ† Keyword Champion (10) πŸ’Ž Century Club (34) πŸ—ƒοΈ Keyword Collector (115) πŸ”₯ Unstoppable (10) πŸ“ˆ Trend Setter

Conferences

JMLR (20) NIPS (14)

Top co-authors

David B Dunson (7) Lawrence Carin (5) Xiangyu Wang (4) Leo L. Duan (3) Francesca Petralia (2) Lu Ren (2) Bruno Scarpa (2) Chenlei Leng (2) Sanvesh Srivastava (2) Emily B. Fox (2)

Research topics

Probability (1) Education (1)

Keywords

bayesian inference (21) markov chain monte carlo (8) gaussian process (7) bayesian nonparametrics (6) variational inference (5) dirichlet process (5) posterior distribution (3) mixture model (3) density estimation (3) nonparametric bayesian (3) nonparametric regression (2) dimensionality reduction (2) probabilistic modeling (2) bayesian regression (2) variational bayesian (2) non-parametric bayesian (2) covariance estimation (2) high-dimensional statistics (2) gaussian processes (2) feature selection (2)

Papers

Spatial meshing for general Bayesian multivariate models JMLR 2024
Bayesian Spanning Tree: Estimating the Backbone of the Dependence Graph JMLR 2023
Nearest Neighbor Dirichlet Mixtures JMLR 2023
Escaping The Curse of Dimensionality in Bayesian Model-Based Clustering JMLR 2023
Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data JMLR 2023
Spatial Multivariate Trees for Big Data Bayesian Regression JMLR 2022
Soft Tensor Regression JMLR 2021
Bayesian Distance Clustering JMLR 2021
Bayesian Closed Surface Fitting Through Tensor Products JMLR 2020
Scaling up Data Augmentation MCMC via Calibration JMLR 2018
Scalable Bayes via Barycenter in Wasserstein Space JMLR 2018
Robust and Scalable Bayes via a Median of Subset Posterior Measures JMLR 2017
Bayesian Tensor Regression JMLR 2017
Bayesian Graphical Models for Multivariate Functional Data JMLR 2016
DECOrrelated feature space partitioning for distributed sparse regression NIPS 2016
Compressed Gaussian Process for Manifold Regression JMLR 2016
Parallelizing MCMC with Random Partition Trees NIPS 2015
Probabilistic Curve Learning: Coulomb Repulsion and the Electrostatic Gaussian Process NIPS 2015
Bayesian Nonparametric Covariance Regression JMLR 2015
On the consistency theory of high dimensional variable screening NIPS 2015
Locally Adaptive Factor Processes for Multivariate Time Series JMLR 2014
Median Selection Subset Aggregation for Parallel Inference NIPS 2014
Improving Prediction from Dirichlet Process Mixtures via Enrichment JMLR 2014
Multivariate Convex Regression with Adaptive Partitioning JMLR 2013
Locally Adaptive Bayesian Multivariate Time Series NIPS 2013
Multiscale Dictionary Learning for Estimating Conditional Distributions NIPS 2013
Repulsive Mixtures NIPS 2012
Multiresolution Gaussian Processes NIPS 2012
Generalized Beta Mixtures of Gaussians NIPS 2011
The Kernel Beta Process NIPS 2011
Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices NIPS 2011
Joint Analysis of Time-Evolving Binary Matrices and Associated Documents NIPS 2010
Classification with Incomplete Data Using Dirichlet Process Priors JMLR 2010
A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation NIPS 2009