User dmh

3 votes

Under what conditions are Maximum Likelihood Estimation and Empirical Risk Minimization equivalent

answered Oct 21, 2020 at 13:44

2 votes

Accepted

Reference request: consistency of gradient boosting methods

answered Jul 31, 2020 at 23:12

1 vote

Tricks for getting NNs to match the performance of GBDTs

answered Sep 4, 2020 at 16:06

1 vote

How big should my subsample be?

answered Sep 28, 2020 at 1:47

1 vote

Accepted

Marginal Distribution for x

answered Oct 23, 2020 at 3:12

1 vote

Can we normalize both continuous and discrete numerical values

answered Sep 25, 2020 at 2:30

1 vote

Accepted

Rejection region and two sided test. Absolute value of mean

answered Sep 25, 2020 at 2:41

0 votes

how to transfer a model trained on regression task to classification task?

answered Sep 25, 2020 at 2:44

0 votes

Supervised learning dataset for click prediction in real time ad bidding

answered Sep 28, 2020 at 1:37

0 votes

Derive minimizer of logistic loss

answered Dec 3, 2020 at 3:03

0 votes

Compute F1 estimate variance for a given precision and recall

answered May 20, 2021 at 15:55

0 votes

Final layer of neural network responsible for overfitting

answered Sep 9, 2020 at 18:51

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12 Answers

Under what conditions are Maximum Likelihood Estimation and Empirical Risk Minimization equivalent

Reference request: consistency of gradient boosting methods

Tricks for getting NNs to match the performance of GBDTs

How big should my subsample be?

Marginal Distribution for x

Can we normalize both continuous and discrete numerical values

Rejection region and two sided test. Absolute value of mean

how to transfer a model trained on regression task to classification task?

Supervised learning dataset for click prediction in real time ad bidding

Derive minimizer of logistic loss

Compute F1 estimate variance for a given precision and recall

Final layer of neural network responsible for overfitting