Every Call is Precious (ECP)
ECP is an optimization framework that ensures each accepted function evaluation is potentially informative to the optimization process.
Tag: Technique
ECPv2
ECPv2 is a scalable algorithm designed for the global optimization of Lipschitz-continuous functions with unknown Lipschitz constants.
Time-dependent Loss Weighting
A training technique where the loss function is adjusted based on the time variable to stabilize model training.
Evolutionary Optimization
A subset of evolutionary computation that uses mechanisms inspired by biological evolution, such as selection, mutation, and crossover, to optimize problems.
Evaluation
The process of assessing the quality and relevance of generated outputs against predefined criteria.
Name Generation
The process of creating names based on specified criteria and constraints.
Objective Extraction
The process of identifying and defining specific goals or requirements from user inputs.
Multi-Agent Optimization
An optimization approach involving multiple agents that collaborate or compete to achieve specific goals.
Fixed Random Projection
A method that uses a fixed random projection to accelerate distance computations in high-dimensional spaces.
Exploratory Landscape Analysis
A method used to analyze the optimization landscape to better understand the characteristics of the optimization problem and improve search strategies.