Results for "local approximation"
Surrogate Model
Advanced
Fast approximation of costly simulations.
Explainability
Intermediate
Techniques to understand model decisions (global or local), important in high-stakes and regulated settings.
LIME
Intermediate
Local surrogate explanation method approximating model behavior near a specific input.
Convex Optimization
Intermediate
Optimization problems where any local minimum is global.
Non-Convex Optimization
Intermediate
Optimization with multiple local minima/saddle points; typical in neural networks.
Hessian Matrix
Intermediate
Matrix of second derivatives describing local curvature of loss.
Universal Approximation Theorem
Intermediate
Neural networks can approximate any continuous function under certain conditions.
Stochastic Approximation
Intermediate
Optimization under uncertainty.
Local Minimum
Intermediate
Minimum relative to nearby points.