Peter Carbonetto
5 papers · 2006–2024 · 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· Full π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (23) π Conference Polyglot Β· Bronze
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Keyword Trendsetter Combo
(3)
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Keyword Champion
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Keyword Pioneer
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Conference Pioneer
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Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(5)
Optimization & Theory
(5)
Artificial Intelligence
(4)
Mathematics & Optimization
(4)
Bayesian & Probabilistic Β· Artificial Intelligence
(4)
Core Methods
(4)
Bayesian & Probabilistic Β· Machine Learning
(3)
Optimization
(2)
Data Science & Analytics
(1)
Deep Learning
(1)
Learning Types
(1)
Mathematics
(1)
Methods
(1)
Models
(1)
Probability
(1)
Keywords
variational inference
(3)
stochastic approximation
(2)
sequential monte carlo
(2)
empirical baye
(2)
feature selection
(1)
wavelet transform
(1)
ising model
(1)
importance sampling
(1)
l1 regularization
(1)
loopy belief propagation
(1)
nonparametric regression
(1)
mean-field approximation
(1)
variational approximation
(1)
penalized regression
(1)
adaptive shrinkage
(1)
sum-product message passing
(1)
probabilistic graphical model
(1)
interior point method
(1)
signal denoising
(1)
shrinkage estimation
(1)
Papers
A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression
JMLR 2024
Flexible Signal Denoising via Flexible Empirical Bayes Shrinkage
JMLR 2021
A Stochastic approximation method for inference in probabilistic graphical models
NeurIPS 2009
An interior-point stochastic approximation method and an L1-regularized delta rule
NeurIPS 2008
Conditional mean field
NeurIPS 2006