| Hybrid Reinforcement Learning Framework for Mixed-Variable Problems | May 30, 2024 | Bayesian Optimizationreinforcement-learning | —Unverified | 0 |
| Hybrid Repeat/Multi-point Sampling for Highly Volatile Objective Functions | Dec 13, 2016 | Bayesian Optimization | —Unverified | 0 |
| HyperArm Bandit Optimization: A Novel approach to Hyperparameter Optimization and an Analysis of Bandit Algorithms in Stochastic and Adversarial Settings | Mar 13, 2025 | Bayesian OptimizationComputational Efficiency | —Unverified | 0 |
| Hyperband-based Bayesian Optimization for Black-box Prompt Selection | Dec 10, 2024 | Bayesian OptimizationLarge Language Model | —Unverified | 0 |
| Hyperboost: Hyperparameter Optimization by Gradient Boosting surrogate models | Jan 6, 2021 | AutoMLBayesian Optimization | —Unverified | 0 |
| Hyper-parameter estimation method with particle swarm optimization | Nov 24, 2020 | Bayesian Optimizationparameter estimation | —Unverified | 0 |
| Hyper-parameter optimization based on soft actor critic and hierarchical mixture regularization | Dec 8, 2021 | Bayesian Optimizationreinforcement-learning | —Unverified | 0 |
| Hyperparameter Optimization for Driving Strategies Based on Reinforcement Learning | Jul 19, 2024 | Autonomous DrivingBayesian Optimization | —Unverified | 0 |
| Hyperparameter Optimization for SecureBoost via Constrained Multi-Objective Federated Learning | Apr 6, 2024 | Bayesian OptimizationFederated Learning | —Unverified | 0 |
| Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges | Jul 13, 2021 | Bayesian OptimizationBIG-bench Machine Learning | —Unverified | 0 |
