Login / Signup
Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks.
Pratik Chaudhari
Stefano Soatto
Published in:
ICLR (Poster) (2018)
Keyphrases
</>
stochastic gradient descent
least squares
loss function
step size
machine learning
bayesian inference
support vector machine
gaussian process
probabilistic model
topic models
regularization parameter
multiple kernel learning