| Harnessing the Power of Gradient-Based Simulations for Multi-Objective Optimization in Particle Accelerators | Nov 7, 2024 | Bayesian OptimizationEvolutionary Algorithms | —Unverified | 0 |
| Respecting the limit:Bayesian optimization with a bound on the optimal value | Nov 7, 2024 | Bayesian Optimization | —Unverified | 0 |
| Constrained composite Bayesian optimization for rational synthesis of polymeric particles | Nov 6, 2024 | Bayesian Optimization | —Unverified | 0 |
| Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation | Nov 6, 2024 | Active LearningBayesian Optimization | CodeCode Available | 0 |
| Reducing Hyperparameter Tuning Costs in ML, Vision and Language Model Training Pipelines via Memoization-Awareness | Nov 6, 2024 | Bayesian OptimizationGPU | CodeCode Available | 0 |
| Graph Agnostic Causal Bayesian Optimisation | Nov 5, 2024 | Bayesian OptimisationBayesian Optimization | —Unverified | 0 |
| Towards safe Bayesian optimization with Wiener kernel regression | Nov 4, 2024 | Bayesian Optimizationregression | CodeCode Available | 0 |
| Conditional Latent Space Molecular Scaffold Optimization for Accelerated Molecular Design | Nov 3, 2024 | Bayesian Optimization | —Unverified | 0 |
| Transfer Learning for Finetuning Large Language Models | Nov 2, 2024 | Bayesian OptimizationMeta-Learning | —Unverified | 0 |
| MetaMetrics-MT: Tuning Meta-Metrics for Machine Translation via Human Preference Calibration | Nov 1, 2024 | Bayesian OptimizationGaussian Processes | CodeCode Available | 1 |