User snickerdoodles777

10 votes

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What's a mean field variational family?

answered Feb 10, 2019 at 20:06

5 votes

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Is maximum likelihood estimation practical through backpropagation?

answered Nov 24, 2020 at 21:53

4 votes

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Why is batch normalization preserving the capacity of a network?

answered Jun 14, 2019 at 15:15

4 votes

Thin Plate Regression Splines mgcv?

answered Aug 20, 2019 at 20:58

3 votes

How do I sample a multivariate posterior when I can sample the likelihood and prior?

answered Jan 29, 2020 at 3:15

3 votes

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Need mathematical steps for Hoeffding's Inequality applied to Bernoulli Distribution

answered Jan 31, 2020 at 1:29

2 votes

In Gaussian processes, why does the conditional Gaussian "agree" with data?

answered Jun 11, 2019 at 14:54

2 votes

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Why CBOW model is called "continuous"?

answered Jan 11, 2020 at 6:54

1 vote

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Confusion on terminology for a variational autoencoder

answered Nov 30, 2020 at 6:06

1 vote

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Symmetrization by ghost-sample probabilistic argument in Vapnik-Chervonenkis inequality proof

answered Sep 1, 2021 at 1:05

1 vote

Denominator in Bayes - in the continuous case, why isn't it zero?

answered Apr 17, 2019 at 16:57

0 votes

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bayesian predictions in multilevel model for panel data

answered Feb 10, 2019 at 21:24

0 votes

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Compute an approximate power when lambda = 10

answered Apr 16, 2019 at 18:35

0 votes

Approximating p-values from Bayesian posterior distribution

answered Aug 27, 2019 at 14:48

0 votes

Marginal likelihood for linear model with random effects to do Bayesian model comparison

answered Sep 3, 2021 at 17:17

Stack Exchange Network

15 Answers

What's a mean field variational family?

Is maximum likelihood estimation practical through backpropagation?

Why is batch normalization preserving the capacity of a network?

Thin Plate Regression Splines mgcv?

How do I sample a multivariate posterior when I can sample the likelihood and prior?

Need mathematical steps for Hoeffding's Inequality applied to Bernoulli Distribution

In Gaussian processes, why does the conditional Gaussian "agree" with data?

Why CBOW model is called "continuous"?

Confusion on terminology for a variational autoencoder

Symmetrization by ghost-sample probabilistic argument in Vapnik-Chervonenkis inequality proof

Denominator in Bayes - in the continuous case, why isn't it zero?

bayesian predictions in multilevel model for panel data

Compute an approximate power when lambda = 10

Approximating p-values from Bayesian posterior distribution

Marginal likelihood for linear model with random effects to do Bayesian model comparison