David B Dunson
9 papers · 2013–2021 · 2 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (30) π Conference Polyglot Β· Bronze
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Topic Pioneer
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Trend Setter
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Renaissance Researcher
(5)
ποΈ
Keyword Collector
(62)
Venues
Top co-authors
Research topics
Machine Learning
(9)
Optimization & Theory
(8)
Artificial Intelligence
(6)
Bayesian & Probabilistic Β· Artificial Intelligence
(6)
Core Methods
(6)
Bayesian & Probabilistic Β· Machine Learning
(5)
Data Science & Analytics
(3)
Mathematics & Optimization
(3)
Methods
(3)
Computer Science
(1)
Healthcare & Medicine
(1)
Mathematics
(1)
Probability
(1)
Research
(1)
Statistics
(1)
Keywords
bayesian inference
(5)
markov chain monte carlo
(4)
dimensionality reduction
(2)
distributed learning
(2)
high-dimensional statistics
(2)
feature selection
(2)
gaussian process
(2)
model selection
(1)
bayesian nonparametrics
(1)
factor analysis
(1)
density estimation
(1)
variational inference
(1)
dirichlet process
(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
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
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