Michael Andersen
5 papers · 2018–2020 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Hot Topic Early Bird
Venues
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Research topics
Keywords
gaussian process
(3)
expectation propagation
(2)
leave-one-out cross-validation
(2)
bayesian model comparison
(2)
structure learning
(1)
audio signal processing
(1)
biomarker discovery
(1)
posterior approximation
(1)
state space model
(1)
kalman smoothing
(1)
predictive performance
(1)
large-scale inference
(1)
dynamic connectivity
(1)
brain network estimation
(1)
probability-proportional-to-size sampling
(1)
nonnegative matrix factorisation
(1)
approximate inference
(1)
spectral mixture model
(1)
variational inference
(1)
bayesian learning
(1)
Papers
Leave-One-Out Cross-Validation for Bayesian Model Comparison in Large Data
AISTATS 2020
State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes
ICML 2020
Bayesian leave-one-out cross-validation for large data
ICML 2019
End-to-End Probabilistic Inference for Nonstationary Audio Analysis
ICML 2019
Bayesian Structure Learning for Dynamic Brain Connectivity
AISTATS 2018