The question of Taylor expansion of loss function in XGBoost
30343
xgboost tayler expansion detail
2180
What do the subscripts in expectations mean in loss function
136197
Normalizing the final weights vector in the upper bound on the Perceptron's convergence
36221
L1 & L2 Regularization in Light GBM
156390
Gradient Boosting for Linear Regression - why does it not work?
156916
Intuitive and Formulaic Justification for the Rao-Blackwell Theorem
142784
For linear classifiers, do larger coefficients imply more important features?
53436
Intuition on the Kullback-Leibler (KL) Divergence
70819
Why do Random forest and XGBoost gives different importance weight on the same set of features?
145878
Overfitting on the loss graph, but not the accuracy graph
42192
Bernoulli numbers, taylor series expansion of tan x
49475
Expected Value of Local Maxima and Local Minima
145386
Logarithmic loss vs Brier score vs AUC score
8577
gaussian quadrature weight function x
32831
Optimal step size in gradient descent
24230
Proof that CRF models and logistic models are convex functions
102350
Cost function of neural network is non-convex?