Why is reparameterization trick necessary for variational autoencoders?
1456
How does the reparameterization trick for VAEs work and why is it important?
139196
Is there a way to 'compress' an lm() object for later prediction?
37424
variational question
143614
Dropout: scaling the activation versus inverting the dropout
3013
Why does the Lasso provide Variable Selection?
94732
Why do neural networks need so many training examples to perform?
107595
Iteratively minimizing the function
81049
What norm of the reconstruction error is minimized by the low-rank approximation matrix obtained with PCA?
56397
Why do smaller weights result in simpler models in regularization?
85010
What're the differences between PCA and autoencoder?
79824
Varied Activation Functions in Neural Networks
103939
Why doesn't regularization solve Deep Neural Nets hunger for data?
49265
Wouldn't multiple filters in a convolutional layer learn the same parameter during training?
98154
Why use group lasso instead of lasso?
13412
Motivating sigmoid output units in neural networks starting with unnormalized log probabilities linear in $z=w^Th+b$ and $\phi(z)$
38075
What is the trade-off between batch size and number of iterations to train a neural network?
75838
Understanding batch normalization