Sinead A Williamson
4 papers · 2013–2024 · 2 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Half
🗺️
Taxonomy Completionist
(16)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(4)
Bayesian & Probabilistic · Machine Learning
(3)
Learning Types · Machine Learning
(3)
Optimization & Theory
(3)
Artificial Intelligence
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Deep Learning
(1)
Application Areas
(1)
Core Methods
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Keywords
bayesian inference
(3)
bayesian nonparametrics
(1)
nonparametric bayesian
(1)
approximate inference
(1)
nonparametric bayesian models
(1)
uncertainty quantification
(1)
data augmentation
(1)
hierarchical clustering
(1)
posterior inference
(1)
variance reduction
(1)
feature models
(1)
exchangeable distributions
(1)
feature modeling
(1)
bayesian posterior
(1)
dynamic clustering
(1)
exchangeable nonparametric distributions
(1)
feature allocation
(1)
infinite trees
(1)
latent variable model
(1)
stochastic gradient langevin dynamics
(1)
Papers
Posterior Uncertainty Quantification in Neural Networks using Data Augmentation
AISTATS 2024
Variance Reduction in Stochastic Gradient Langevin Dynamics
NeurIPS 2016
Dependent nonparametric trees for dynamic hierarchical clustering
NeurIPS 2014
Restricting exchangeable nonparametric distributions
NeurIPS 2013