Co-occurring keywords · papers mentioning both
Papers
Beyond Grid Search: Leveraging Bayesian Optimization for Accelerating RAG Pipeline Optimization
EACL 2026
LAMDA: Two-Phase HPO via Learning Prior from Low-Fidelity Data
AAAI 2026
A Bayesian Optimization Approach to Machine Translation Reranking
NAACL 2025
EcoTune: Token-Efficient Multi-Fidelity Hyperparameter Optimization for Large Language Model Inference
EMNLP 2025
Efficient Hyperparameter Optimization with Adaptive Fidelity Identification
CVPR 2024
Optimal Multi-Fidelity Best-Arm Identification
NeurIPS 2024
HyperJump: Accelerating HyperBand via Risk Modelling
AAAI 2023
Improving Multi-Fidelity Optimization With a Recurring Learning Rate for Hyperparameter Tuning
WACV 2023
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources
AISTATS 2023
Optimizing Hyperparameters with Conformal Quantile Regression
ICML 2023
Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization
AAAI 2022
JAHS-Bench-201: A Foundation For Research On Joint Architecture And Hyperparameter Search
NeurIPS 2022
Multi-Fidelity Best-Arm Identification
NeurIPS 2022
Procrastinated Tree Search: Black-Box Optimization with Delayed, Noisy, and Multi-Fidelity Feedback
AAAI 2022
Supervising the Multi-Fidelity Race of Hyperparameter Configurations
NeurIPS 2022
YAHPO Gym - An Efficient Multi-Objective Multi-Fidelity Benchmark for Hyperparameter Optimization
AutoML 2022
Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks
NeurIPS 2021
GIBBON: General-purpose Information-Based Bayesian Optimisation
JMLR 2021
MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements
AAAI 2021
NAS-Bench-x11 and the Power of Learning Curves
NeurIPS 2021
Adaptive multi-fidelity optimization with fast learning rates
AISTATS 2020
Multi-Fidelity Bayesian Optimization via Deep Neural Networks
NeurIPS 2020
Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its Parallelization
ICML 2020
Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach
AAAI 2020
Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly
JMLR 2020