David B. Dunson
34 papers · 2009–2024 · 2 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 16 separate collaboration groups - the largest holds only 26% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which David B. Dunson?
7 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with David B Dunson, Xiangyu Wang, Francesca Petralia
9 papers
· 2012–2016
· NeurIPS, JMLR
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DECOrrelated feature space partitioning for distributed sparse regression
NeurIPS 2016
On the consistency theory of high dimensional variable screening
NeurIPS 2015
Parallelizing MCMC with Random Partition Trees
NeurIPS 2015
Probabilistic Curve Learning: Coulomb Repulsion and the Electrostatic Gaussian Process
NeurIPS 2015
Locally Adaptive Factor Processes for Multivariate Time Series
JMLR 2014
Median Selection Subset Aggregation for Parallel Inference
NeurIPS 2014
Locally Adaptive Bayesian Multivariate Time Series
NeurIPS 2013
Multiscale Dictionary Learning for Estimating Conditional Distributions
NeurIPS 2013
Repulsive Mixtures
NeurIPS 2012
9 papers whose co-authors appear nowhere else under this name
Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data
JMLR 2023
Escaping The Curse of Dimensionality in Bayesian Model-Based Clustering
JMLR 2023
Nearest Neighbor Dirichlet Mixtures
JMLR 2023
Soft Tensor Regression
JMLR 2021
Bayesian Closed Surface Fitting Through Tensor Products
JMLR 2020
Bayesian Graphical Models for Multivariate Functional Data
JMLR 2016
Improving Prediction from Dirichlet Process Mixtures via Enrichment
JMLR 2014
Multivariate Convex Regression with Adaptive Partitioning
JMLR 2013
Generalized Beta Mixtures of Gaussians
NeurIPS 2011