| An Automated Machine Learning (AutoML) Method for Driving Distraction Detection Based on Lane-Keeping Performance | Mar 10, 2021 | AutoMLBayesian Optimization | —Unverified | 0 |
| Exact Sampling from Determinantal Point Processes | Sep 22, 2016 | Active LearningBayesian Optimization | —Unverified | 0 |
| Few-Shot Bayesian Optimization with Deep Kernel Surrogates | Jan 19, 2021 | Bayesian OptimizationFew-Shot Learning | —Unverified | 0 |
| Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks | Jun 18, 2021 | Bayesian OptimizationDiversity | —Unverified | 0 |
| Bayesian Optimization using Deep Gaussian Processes | May 7, 2019 | Bayesian OptimizationGaussian Processes | —Unverified | 0 |
| Few-shot crack image classification using clip based on bayesian optimization | Mar 1, 2025 | Bayesian OptimisationBayesian Optimization | —Unverified | 0 |
| Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models | May 14, 2024 | Bayesian Optimization | —Unverified | 0 |
| Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach | Jun 25, 2022 | Bayesian OptimizationHyperparameter Optimization | —Unverified | 0 |
| Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond | May 21, 2025 | Bayesian OptimizationRecipe Generation | —Unverified | 0 |
| Finding Needles in Haystack: Formal Generative Models for Efficient Massive Parallel Simulations | Jan 3, 2023 | Bayesian Optimization | —Unverified | 0 |