How do Variational Auto Encoders backprop past the sampling step
1456
How does the reparameterization trick for VAEs work and why is it important?
17595
Deep learning basics
150076
Simulating the posterior of a Gaussian process
61480
Why in Variational Auto Encoder (Gaussian variational family) we model $\log\sigma^2$ and not $\sigma^2$ (or $\sigma$) itself?
36221
L1 & L2 Regularization in Light GBM
74904
Random initialization/order in neural network — bias or variance?
138561
Fast arbitrary distribution random sampling (inverse transform sampling)
69676
Keras CNN with low/constant accuracies
40850
How does AdamW weight_decay works for L2 regularization?
579
Deterministic nonces in CTR mode
123017
How does a back-propagation training algorithm work?
32942
Skipping lags in autoregressive modeling?
129771
Reparametrization trick with non-Gaussian distributions?
24674
On posterior in the Bayesian bootstrap
106150
What exactly is weakly informative prior?
79824
Varied Activation Functions in Neural Networks
75838
Understanding batch normalization