Zzong's Notes

❯

machine_learning

❯

optimization

32개의 글

alternating direction method of multipliers
- statistic
- optimization
Batch Gradient Descent
- optimization
Bayesian Optimization
- machine_learning
- hyperparameter
BFGS
bound optimization
- optimization
convex function
- optimization
double descent
- deep_learning
Early Stopping
- machine_learning
empirical risk minimization
exploding gradients
global minimum
- optimization
- machine_learning
gradient
- calculus
- differentitation
gradient descent
Gradient-based One-Side Sampling
- optimization
Grid Search
- machine_learning
- hyperparameter_optimization
hyperparameter
- machine_learning
Hyperparameter Optimization
Jensen's inequality
- optimization
KL annealing
- optimization
Lagrange multiplier method
- optimization
mean field approximation
- bayesian_inference
- optimization
Momentum
- optimization
Newton-Raphson method
- machine_learning
- optimization
Optimization algorithms
optimization problem
- optimization
Pareto efficiency
quasi-Newton method
- optimization
Random search
- machine_learning
- hyperparameter_optimization
stochastic gradient descent
- machine_learning
- optimization
vanishing gradients
- deep_learning
variational EM algorithm
- optimization
- bayesian_inference
weight decay
- deep_learning