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Bayesian Optimization

14 directly classified papers

Papers per year

Papers

Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction CVPR 2025
Weight-Aware Activation Sparsity with Constrained Bayesian Optimization Scheduling for Large Language Models EMNLP 2025
Towards Comprehensive Evaluation of Open-Source Language Models: A Multi-Dimensional, User-Driven Approach ACL 2025
COM-BOM: Bayesian Exemplar Search for Efficiently Exploring the Accuracy-Calibration Pareto Frontier EMNLP 2025
Bayesian Adaptive Calibration and Optimal Design NIPS 2024
Efficient Hyperparameter Optimization with Adaptive Fidelity Identification CVPR 2024
Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars NIPS 2023
Code-Aware Cross-Program Transfer Hyperparameter Optimization AAAI 2023
Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization NIPS 2023
Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification EMNLP 2021
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search AAAI 2021
Neural Architecture Generator Optimization NIPS 2020
Meta Architecture Search NIPS 2019
Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation NIPS 2018