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Dropout Regularization Versus $\ell_2$-Penalization in the Linear Model
We investigate the statistical behavior of gradient descent iterates with dropout in the linear regression model.
Spike and slab variational Bayes for high dimensional logistic regression
Variational Bayes (VB) is a popular scalable alternative to Markov chain Monte Carlo for Bayesian inference.
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