GitHub

Increasing the Scope as You Learn: BAxUS

💡 NOTE: If you're interested in BAxUS, please consider using Bounce, which comes with an improved trust region management policy, an easier setup, and batch parallelism. benchmark_runner.py -id 100 ...
IEEE

A GAN-Assisted Bi-Stage Bayesian Co-Evolution Optimization Algorithm for High-dimensional Expensive Many-Objective Problems

Abstract: Bayesian optimization (BO) struggles with data scarcity and poor scalability in high-dimensional expensive many-objective optimization problems (HEMaOPs). To address this, we propose a novel ...
IEEE

Application and Effectiveness Evaluation of Bayesian Optimization Algorithm in Hyperparameter Tuning of Machine Learning Models

Abstract: Hyperparameter tuning is a crucial step in the development of machine learning models, as it directly impacts their performance and generalization ability. Traditional methods for ...
Morgan Stanley

Bayes and Base Rates: How History Can Guide Our Assessment of the Future

The ongoing massive investments in artificial intelligence (AI) aim to satisfy a huge increase in anticipated demand, which in turn has led some firms to offer rosy growth forecasts. To assess these ...