Amazon technologies, inc. (20250013899). HYPERPARAMETER OPTIMIZATION WITH OPERATIONAL CONSTRAINTS
HYPERPARAMETER OPTIMIZATION WITH OPERATIONAL CONSTRAINTS
Organization Name
Inventor(s)
Giovanni Zappella of Berlin DE
Iaroslav Shcherbatyi of Berlin DE
Rodolphe Jenatton of Berlin DE
Cedric Philippe Archambeau of Berlin DE
HYPERPARAMETER OPTIMIZATION WITH OPERATIONAL CONSTRAINTS
This abstract first appeared for US patent application 20250013899 titled 'HYPERPARAMETER OPTIMIZATION WITH OPERATIONAL CONSTRAINTS
Original Abstract Submitted
hyperparameters for tuning a machine learning system may be optimized using bayesian optimization with constraints. the hyperparameter optimization may be performed for a received training set and received constraints. respective probabilistic models for the machine learning system and constraint functions may be initialized, then hyperparameter optimization may include iteratively identifying respective values for hyperparameters using analysis of the respective models performed using an acquisition function implementing entropy search on the respective models, training the machine learning system using the identified values to determine measures of accuracy and constraint metrics, and updating the respective models using the determined measures.