David B Dunson
9 papers · 2013–2021 · 2 conferences · across top CS/AI conferences
Achievements
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Conferences
NIPS (7)
JMLR (2)
Top co-authors
Keywords
bayesian inference
(5)
markov chain monte carlo
(4)
dimensionality reduction
(2)
feature selection
(2)
gaussian process
(2)
high-dimensional statistics
(2)
model selection
(1)
bayesian nonparametrics
(1)
factor analysis
(1)
variational inference
(1)
density estimation
(1)
dirichlet process
(1)
distributed learning
(1)
covariance estimation
(1)
manifold learning
(1)
model aggregation
(1)
variable selection
(1)
time series analysis
(1)
sparse regression
(1)
dictionary learning
(1)
Papers
Bayesian time-aligned factor analysis of paired multivariate time series
JMLR 2021
Nonparametric graphical model for counts
JMLR 2020
DECOrrelated feature space partitioning for distributed sparse regression
NIPS 2016
Parallelizing MCMC with Random Partition Trees
NIPS 2015
Probabilistic Curve Learning: Coulomb Repulsion and the Electrostatic Gaussian Process
NIPS 2015
On the consistency theory of high dimensional variable screening
NIPS 2015
Median Selection Subset Aggregation for Parallel Inference
NIPS 2014
Multiscale Dictionary Learning for Estimating Conditional Distributions
NIPS 2013
Locally Adaptive Bayesian Multivariate Time Series
NIPS 2013