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A new inference approach for training shallow and deep generalized linear models of noisy interacting neurons.
Gabriel Mahuas
Giulio Isacchini
Olivier Marre
Ulisse Ferrari
Thierry Mora
Published in:
NeurIPS (2020)
Keyphrases
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generalized linear models
regression model
logistic regression
neural network
linear regression
structured prediction
supervised learning
training set
dirichlet process
probabilistic inference
high dimensional
bayesian inference
incomplete data