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Laplace-Approximated Neural Additive Models: Improving Interpretability with Bayesian Inference.
Kouroche Bouchiat
Alexander Immer
Hugo Yèche
Gunnar Rätsch
Vincent Fortuin
Published in:
CoRR (2023)
Keyphrases
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bayesian inference
additive models
expectation propagation
probabilistic model
prior information
hyperparameters
variational bayes
particle filter
reinforcement learning
graphical models
gaussian mixture model
linear classifiers
linear models