| Benchmarking state-of-the-art gradient boosting algorithms for classification | May 26, 2023 | Bayesian OptimizationBenchmarking | —Unverified | 0 | 0 |
| Benchmarking the Neural Linear Model for Regression | Dec 18, 2019 | Bayesian OptimizationBenchmarking | —Unverified | 0 | 0 |
| Benchmark of Bayesian Optimization and Metaheuristics for Control Engineering Tuning Problems with Crash Constraints | Nov 4, 2022 | Bayesian Optimization | —Unverified | 0 | 0 |
| Beyond Accuracy: Measuring Representation Capacity of Embeddings to Preserve Structural and Contextual Information | Sep 20, 2023 | Bayesian OptimizationClustering | —Unverified | 0 | 0 |
| Beyond Inter-Item Relations: Dynamic Adaption for Enhancing LLM-Based Sequential Recommendation | Aug 14, 2024 | Bayesian OptimizationRecommendation Systems | —Unverified | 0 | 0 |
| Beyond Regrets: Geometric Metrics for Bayesian Optimization | Jan 3, 2024 | Bayesian OptimizationExperimental Design | —Unverified | 0 | 0 |
| Bias-Robust Bayesian Optimization via Dueling Bandits | May 25, 2021 | Bayesian Optimization | —Unverified | 0 | 0 |
| Black-Box Optimization in Machine Learning with Trust Region Based Derivative Free Algorithm | Mar 20, 2017 | Bayesian OptimizationBIG-bench Machine Learning | —Unverified | 0 | 0 |
| Black-Box Optimization of Object Detector Scales | Oct 29, 2020 | Bayesian OptimizationObject | —Unverified | 0 | 0 |
| BLADE: Enhancing Black-box Large Language Models with Small Domain-Specific Models | Mar 27, 2024 | Bayesian Optimization | —Unverified | 0 | 0 |
