User Tbertin

20 votes

2 answers

14k views

Why do we use Gaussian distributions in Variational Autoencoder?

asked Apr 11, 2019 at 22:19

3 votes

0 answers

349 views

Why do we use the log-derivative trick before Monte Carlo?

asked Nov 7, 2019 at 22:50

2 votes

1 answer

919 views

Select optimal points for Gaussian process with a well-known target function

asked Mar 4, 2019 at 19:18

1 vote

4 answers

478 views

How to build a Bayesian Model to estimate the probability distribution of the parameters given the output?

asked Jan 17, 2019 at 21:12

1 vote

0 answers

112 views

Covariance Matrix of HIERARCHICAL MULTITASK GAUSSIAN PROCESS

asked Jan 31, 2019 at 4:14

1 vote

2 answers

612 views

How do we reuse and store the output of an MCMC?

asked May 3, 2019 at 21:33

1 vote

1 answer

114 views

Confusion when Learning Parameters in BAYESIAN MODELS

asked May 7, 2019 at 15:43

0 votes

0 answers

41 views

Is there a function that combines correlation and convolution?

asked Dec 12, 2018 at 19:42

Stack Exchange Network

8 Questions

Why do we use Gaussian distributions in Variational Autoencoder?

Why do we use the log-derivative trick before Monte Carlo?

Select optimal points for Gaussian process with a well-known target function

How to build a Bayesian Model to estimate the probability distribution of the parameters given the output?

Covariance Matrix of HIERARCHICAL MULTITASK GAUSSIAN PROCESS

How do we reuse and store the output of an MCMC?

Confusion when Learning Parameters in BAYESIAN MODELS

Is there a function that combines correlation and convolution?