conftrace_

multi-fidelity optimization

33 papers

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Co-occurring keywords

bayesian optimization (624) hyperparameter optimization (406) gaussian process (1200) surrogate model (181) hyperparameter tuning (215) neural architecture search (666) black-box optimization (183) acquisition function (129) regret bound (1926) bandit algorithm (108)

Papers

LAMDA: Two-Phase HPO via Learning Prior from Low-Fidelity Data AAAI 2026
Beyond Grid Search: Leveraging Bayesian Optimization for Accelerating RAG Pipeline Optimization EACL 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 NIPS 2024
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources AISTATS 2023
Optimizing Hyperparameters with Conformal Quantile Regression ICML 2023
HyperJump: Accelerating HyperBand via Risk Modelling AAAI 2023
Improving Multi-Fidelity Optimization With a Recurring Learning Rate for Hyperparameter Tuning WACV 2023
Supervising the Multi-Fidelity Race of Hyperparameter Configurations NIPS 2022
Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization AAAI 2022
Procrastinated Tree Search: Black-Box Optimization with Delayed, Noisy, and Multi-Fidelity Feedback AAAI 2022
JAHS-Bench-201: A Foundation For Research On Joint Architecture And Hyperparameter Search NIPS 2022
Multi-Fidelity Best-Arm Identification NIPS 2022
YAHPO Gym - An Efficient Multi-Objective Multi-Fidelity Benchmark for Hyperparameter Optimization AUTOML 2022
MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements AAAI 2021
NAS-Bench-x11 and the Power of Learning Curves NIPS 2021
GIBBON: General-purpose Information-Based Bayesian Optimisation JMLR 2021
Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly JMLR 2020
Multi-Fidelity Bayesian Optimization via Deep Neural Networks NIPS 2020
Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach AAAI 2020
Adaptive multi-fidelity optimization with fast learning rates AISTATS 2020
Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its Parallelization ICML 2020
A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes AISTATS 2019