David Dunson
16 papers · 2011–2024 · 3 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (27) π Academic Marathon Β· Half π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Deep Specialist
(10)
π₯
Mega-Team Β· Squad
π§
Keyword Pioneer
π
Trend Setter
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(90)
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(16)
Optimization & Theory
(12)
Core Methods
(9)
Artificial Intelligence
(8)
Bayesian & Probabilistic Β· Artificial Intelligence
(7)
Deep Learning
(4)
Bayesian & Probabilistic Β· Machine Learning
(4)
Mathematics & Optimization
(2)
Optimization
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Healthcare & Medicine
(1)
Learning Paradigms
(1)
Learning Types
(1)
Mathematics
(1)
Keywords
bayesian inference
(6)
nonparametric bayesian
(3)
hierarchical model
(3)
gibbs sampling
(3)
distributed learning
(2)
dictionary learning
(2)
density estimation
(2)
variational inference
(2)
model selection
(1)
bayesian nonparametrics
(1)
continual learning
(1)
logistic regression
(1)
principal component analysis
(1)
data augmentation
(1)
posterior sampling
(1)
dirichlet process
(1)
covariance estimation
(1)
ridge regression
(1)
topic modeling
(1)
probabilistic modeling
(1)
Papers
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
ICML 2024
Statistical Guarantees for Transformation Based Models with applications to Implicit Variational Inference
AISTATS 2021
Fiedler Regularization: Learning Neural Networks with Graph Sparsity
ICML 2020
No penalty no tears: Least squares in high-dimensional linear models
ICML 2016
Scalable geometric density estimation
AISTATS 2016
Variational Gaussian Copula Inference
AISTATS 2016
WASP: Scalable Bayes via barycenters of subset posteriors
AISTATS 2015
Bayesian Logistic Gaussian Process Models for Dynamic Networks
AISTATS 2014
Scalable and Robust Bayesian Inference via the Median Posterior
ICML 2014
Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors
ICML 2014
Bayesian learning of joint distributions of objects
AISTATS 2013
Diagonal Orthant Multinomial Probit Models
AISTATS 2013
Beta-Negative Binomial Process and Poisson Factor Analysis
AISTATS 2012
Hierarchical Latent Dictionaries for Models of Brain Activation
AISTATS 2012
Dependent Hierarchical Beta Process for Image Interpolation and Denoising
AISTATS 2011
Logistic Stick-Breaking Process
JMLR 2011