Loss function that penalizes under-predictions more than over-predictions?
138120
Linear regression with non-symmetric cost function?
79352
Definition of Overfitting
127263
Showing the Equivalence Between the $ {L}_{2} $ Norm Regularized Regression and $ {L}_{2} $ Norm Constrained Regression Using KKT
102983
(Why) do overfitted models tend to have large coefficients?
148798
Closed form and gradient calculation for linear regression
139196
Is there a way to 'compress' an lm() object for later prediction?
13412
Motivating sigmoid output units in neural networks starting with unnormalized log probabilities linear in $z=w^Th+b$ and $\phi(z)$
80741
Constrain a Neural Network to be monotonic?
132334
Is it okay to use cross entropy loss function with soft labels?
59635
Stochastic gradient descent Vs Mini-batch size 1
91880
Suggestions for cost-sensitive learning in a highly imbalanced setting
42483
Logistic regression with {-1,+1} labels
98605
Ridge/Lasso regression negative Lambda
108556
Standardization vs. Normalization for Lasso/Ridge Regression
124953
A loss and gain problem
142784
For linear classifiers, do larger coefficients imply more important features?
37433
How to build a predictive model when more levels of a categorical predictor are possible than appear in the training data