Dimitrios Milios
5 papers · 2018–2022 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Taxonomy Completionist
(10)
Venues
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Research topics
Keywords
gaussian process
(3)
variational inference
(2)
representation learning
(1)
model selection
(1)
uncertainty quantification
(1)
sliced wasserstein distance
(1)
markov chain monte carlo
(1)
sparse approximation
(1)
posterior estimation
(1)
hamiltonian monte carlo
(1)
bayesian posterior sampling
(1)
dirichlet distribution
(1)
variational autoencoder
(1)
stochastic differential equation
(1)
latent space
(1)
bayesian neural network
(1)
bayesian deep learning
(1)
mini-batch sampling
(1)
inducing variable
(1)
sparse gaussian process
(1)
Papers
All You Need is a Good Functional Prior for Bayesian Deep Learning
JMLR 2022
Revisiting the Effects of Stochasticity for Hamiltonian Samplers
ICML 2022
Model Selection for Bayesian Autoencoders
NeurIPS 2021
Sparse within Sparse Gaussian Processes using Neighbor Information
ICML 2021
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification
NeurIPS 2018