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Top Questions
36 votes

What should I do when my neural network doesn't generalize well?

neural-networks deep-learning asked Sep 7 '18 at 9:12
stats.stackexchange.com

31 votes

Consequences of the Gaussian correlation inequality for computing joint confidence intervals

normal-distribution confidence-interval multivariate-normal asked Mar 29 '17 at 19:10
stats.stackexchange.com

23 votes

What are attention mechanisms exactly?

time-series deep-learning lstm rnn attention asked May 4 '18 at 17:20
stats.stackexchange.com

22 votes

Showing that 100 measurements for 5 subjects provide much less information than 5 measurements for 100 subjects

mixed-model variance repeated-measures sample-size intraclass-correlation asked Jul 30 '17 at 18:17
stats.stackexchange.com

20 votes

What is it meant with the $\sigma$-algebra generated by a random variable?

probability random-variable sigma-algebra asked Nov 7 '17 at 15:45
stats.stackexchange.com

20 votes

Simplest way to delete a “composite” word?

cursor-motions normal-mode asked Nov 5 '18 at 10:00
vi.stackexchange.com

17 votes

What's the name of the logical fallacy where a debater extends a statement far beyond the original statement to make it true?

logic fallacies asked Mar 20 at 12:31
philosophy.stackexchange.com

16 votes

Associate ipynb files with Jupyter notebook in Windows 10 (Anaconda)

windows anaconda jupyter-notebook jupyter asked Nov 13 '17 at 15:32
stackoverflow.com

14 votes

Can you please explain Simpson's paradox with equations, instead of contingency tables?

mathematical-statistics simpsons-paradox asked Jul 3 '16 at 9:49
stats.stackexchange.com

14 votes

reading a template file and writing it to disk after some modifications

r file-io asked Feb 21 '17 at 17:11
stackoverflow.com

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Top Answers
45
What are the main theorems in Machine (Deep) Learning?
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38
CNN architectures for regression?
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37
What are variational autoencoders and to what learning tasks are they used?
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30
Why is the mean function in Gaussian Process uninteresting?
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25
Should I teach Bayesian or frequentist statistics first?
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22
Prediction interval for binomial random variable
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19
How large exactly is the mosasaurus in Jurassic World?
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16
Beta distribution on flipping a coin
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14
Do Gaussian process (regression) have the universal approximation property?
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14
What is a distribution over functions?
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12
Gaussian process prediction interval
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11
Bayesian updating - coin tossing example
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11
Why Hamiltonian dynamics is better than random walk proposal in MCMC in some cases?
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11
What should I do when my neural network doesn't learn?
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9
What should I do when my neural network doesn't generalize well?
stats.stackexchange.com

9
Convolutional Neural Network Scale Sensitivity
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8
Multi-layer perceptron vs deep neural network
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8
Why not just dump the neural networks and deep learning?
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8
how to find the coefficient for the construction of the linear regression model (using Fourier )?
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8
Compare the statistical significance of the difference between two polynomial regressions in R
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7
Why study Linear Regression?
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7
How do I fit a constrained regression in R so all coefficients are positive and above 0
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7
interpretation of the output of R function bs() (B-spline basis matrix)
stackoverflow.com

7
Is Variational Inference to make an inference of conditional probability from joint probability?
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6
Why is increasing the non-linearity of neural networks desired?
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6
What is the essential difference between a neural network and nonlinear regression?
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6
Stepwise regression predicts as well as Bayesian model averaging and boosting, why?
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6
From a statistical perspective: Fourier transform vs regression with Fourier basis
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6
Linear regression polynomial slope constraint in R
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6
Generate images from CNN model built with transfer learning
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