Improving Computational Cost of Bayesian Optimization for Controller Tuning with a Multi-stage Tuning Framework
Fuente:
arXiv
Saved in:
| Main Authors: | Ares-Milian, Marlon J., Provan, Gregory, Quinones-Grueiro, Marcos |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Generative Multi-Form Bayesian Optimization
by: Guo, Zhendong, et al.
Published: (2025)
by: Guo, Zhendong, et al.
Published: (2025)
KSOS-BO: Improving Sampling in Bayesian Optimization via Kernel Sum of Squares
by: Ou, Buqing, et al.
Published: (2026)
by: Ou, Buqing, et al.
Published: (2026)
Efficient Multi-Objective Constrained Bayesian Optimization of Bridge Girder
by: Røstum, Heine Havneraas, et al.
Published: (2025)
by: Røstum, Heine Havneraas, et al.
Published: (2025)
FairTune: A Bias-Aware Fine-Tuning Framework Towards Fair Heart Rate Prediction from PPG
by: Panchumarthi, Lovely Yeswanth, et al.
Published: (2025)
by: Panchumarthi, Lovely Yeswanth, et al.
Published: (2025)
Quantum Computing for Multi Period Asset Allocation
by: Sun, Queenie, et al.
Published: (2024)
by: Sun, Queenie, et al.
Published: (2024)
Self Distillation Fine-Tuning of Protein Language Models Improves Versatility in Protein Design
by: Tavakoli, Amin, et al.
Published: (2025)
by: Tavakoli, Amin, et al.
Published: (2025)
An Efficient Bayesian Framework for Inverse Problems via Optimization and Inversion: Surrogate Modeling, Parameter Inference, and Uncertainty Quantification
by: Chiappetta, Mihaela, et al.
Published: (2026)
by: Chiappetta, Mihaela, et al.
Published: (2026)
Flow of Knowledge: Federated Fine-Tuning of LLMs in Healthcare under Non-IID Conditions
by: Chen, Zeyu, et al.
Published: (2025)
by: Chen, Zeyu, et al.
Published: (2025)
Partitioned Surrogates and Thompson Sampling for Multidisciplinary Bayesian Optimization
by: Baars, Susanna, et al.
Published: (2024)
by: Baars, Susanna, et al.
Published: (2024)
Multi-Physics-Enhanced Bayesian Inverse Analysis: Information Gain from Additional Fields
by: Haeusel, Lea J., et al.
Published: (2025)
by: Haeusel, Lea J., et al.
Published: (2025)
ForTune: Running Offline Scenarios to Estimate Impact on Business Metrics
by: Dupret, Georges, et al.
Published: (2024)
by: Dupret, Georges, et al.
Published: (2024)
Integrated 4D/5D Digital-Twin Framework for Cost Estimation and Probabilistic Schedule Control: A Texas Mid-Rise Case Study
by: Khoshkonesh, Atena, et al.
Published: (2025)
by: Khoshkonesh, Atena, et al.
Published: (2025)
XBRLTagRec: Domain-Specific Fine-Tuning and Zero-Shot Re-Ranking with LLMs for Extreme Financial Numeral Labeling
by: Hu, Gang, et al.
Published: (2026)
by: Hu, Gang, et al.
Published: (2026)
GIT-BO: High-Dimensional Bayesian Optimization with Tabular Foundation Models
by: Yu, Rosen Ting-Ying, et al.
Published: (2025)
by: Yu, Rosen Ting-Ying, et al.
Published: (2025)
Parameter Efficient Fine-Tuning for Deep Learning-Based Full-Waveform Inversion
by: Ghosal, Koustav, et al.
Published: (2024)
by: Ghosal, Koustav, et al.
Published: (2024)
Fast and Accurate Bayesian Optimization with Pre-trained Transformers for Constrained Engineering Problems
by: Rosen, et al.
Published: (2024)
by: Rosen, et al.
Published: (2024)
Bayesian FFT Modal Identification for Multi-setup Experimental Modal Analysis
by: Wang, Peixiang, et al.
Published: (2024)
by: Wang, Peixiang, et al.
Published: (2024)
PRIMAD-LID: A Developed Framework for Computational Reproducibility
by: Aloqalaa, Meznah, et al.
Published: (2026)
by: Aloqalaa, Meznah, et al.
Published: (2026)
LAET: A Layer-wise Adaptive Ensemble Tuning Framework for Pretrained Language Models
by: Ahad, Jawad Ibn, et al.
Published: (2025)
by: Ahad, Jawad Ibn, et al.
Published: (2025)
Bridging Farm Economics and Landscape Ecology for Global Sustainability through Hierarchical and Bayesian Optimization
by: Dsouza, Kevin Bradley, et al.
Published: (2025)
by: Dsouza, Kevin Bradley, et al.
Published: (2025)
Non-parametric Inference for Diffusion Processes: A Computational Approach via Bayesian Inversion for PDEs
by: Kruse, Maximilian, et al.
Published: (2024)
by: Kruse, Maximilian, et al.
Published: (2024)
A Generic Framework for Optimization in Blockchain Simulators
by: Long, Hou-Wan, et al.
Published: (2025)
by: Long, Hou-Wan, et al.
Published: (2025)
A Monolithic Computational Homogenization Framework for Nearly Incompressible Magnetoelastic Composites
by: Spencer, L. River, et al.
Published: (2026)
by: Spencer, L. River, et al.
Published: (2026)
Shem: A Hardware-Aware Optimization Framework for Analog Computing Systems
by: Wang, Yu-Neng, et al.
Published: (2024)
by: Wang, Yu-Neng, et al.
Published: (2024)
QUEENS: An Open-Source Python Framework for Solver-Independent Analyses of Large-Scale Computational Models
by: Biehler, Jonas, et al.
Published: (2025)
by: Biehler, Jonas, et al.
Published: (2025)
Maximum-Projection-Based Bayesian Optimization Utilizing Sensitivity Analysis for High-Efficiency Radial Turbine Design with Scarce Data
by: Diehl, Eric, et al.
Published: (2026)
by: Diehl, Eric, et al.
Published: (2026)
Evaluating the Efficiency and Cost-effectiveness of RPB-based CO2 Capture: A Comprehensive Approach to Simultaneous Design and Operating Condition Optimization
by: Jung, Howoun, et al.
Published: (2024)
by: Jung, Howoun, et al.
Published: (2024)
TOFLUX: A Differentiable Topology Optimization Framework for Multiphysics Fluidic Problems
by: Padhy, Rahul Kumar, et al.
Published: (2025)
by: Padhy, Rahul Kumar, et al.
Published: (2025)
Multi-fidelity Bayesian Optimization: A Review
by: Do, Bach, et al.
Published: (2023)
by: Do, Bach, et al.
Published: (2023)
A Comprehensive Framework for Predictive Computational Modeling of Growth and Remodeling in Tissue-Engineered Cardiovascular Implants
by: Sesa, Mahmoud, et al.
Published: (2025)
by: Sesa, Mahmoud, et al.
Published: (2025)
Boosting In-Silicon Directed Evolution with Fine-Tuned Protein Language Model and Tree Search
by: Yang, Yaodong, et al.
Published: (2025)
by: Yang, Yaodong, et al.
Published: (2025)
GELATO: Multi-Material Topology Optimization of Programmable Gel-Elastomer Structures
by: Chandrasekhar, Aaditya, et al.
Published: (2026)
by: Chandrasekhar, Aaditya, et al.
Published: (2026)
Topology Optimization for Multi-Axis Additive Manufacturing Considering Overhang and Anisotropy
by: Shin, Seungheon, et al.
Published: (2025)
by: Shin, Seungheon, et al.
Published: (2025)
Mixing It Up: The Cocktail Effect of Multi-Task Fine-Tuning on LLM Performance -- A Case Study in Finance
by: Brief, Meni, et al.
Published: (2024)
by: Brief, Meni, et al.
Published: (2024)
Multi-objective Bayesian Optimisation of Spinodoid Cellular Structures for Crush Energy Absorption
by: Kansara, Hirak, et al.
Published: (2024)
by: Kansara, Hirak, et al.
Published: (2024)
Isogeometric Analysis for 2D Magnetostatic Computations with Multi-level Bézier Extraction for Local Refinement
by: Grendas, Andreas, et al.
Published: (2025)
by: Grendas, Andreas, et al.
Published: (2025)
Attention-based Multi-fidelity Machine Learning Model for Computational Fractional Flow Reserve Assessment
by: Yang, Haizhou, et al.
Published: (2023)
by: Yang, Haizhou, et al.
Published: (2023)
Optimization of Cost Functions in Absolute Plate Motion Modeling
by: Unwin, James, et al.
Published: (2026)
by: Unwin, James, et al.
Published: (2026)
A Multi-Period Topology and Design Optimization Approach for District Heating Networks
by: Wack, Yannick, et al.
Published: (2024)
by: Wack, Yannick, et al.
Published: (2024)
FinLoRA: Benchmarking LoRA Methods for Fine-Tuning LLMs on Financial Datasets
by: Wang, Dannong, et al.
Published: (2025)
by: Wang, Dannong, et al.
Published: (2025)
Similar Items
-
Generative Multi-Form Bayesian Optimization
by: Guo, Zhendong, et al.
Published: (2025) -
KSOS-BO: Improving Sampling in Bayesian Optimization via Kernel Sum of Squares
by: Ou, Buqing, et al.
Published: (2026) -
Efficient Multi-Objective Constrained Bayesian Optimization of Bridge Girder
by: Røstum, Heine Havneraas, et al.
Published: (2025) -
FairTune: A Bias-Aware Fine-Tuning Framework Towards Fair Heart Rate Prediction from PPG
by: Panchumarthi, Lovely Yeswanth, et al.
Published: (2025) -
Quantum Computing for Multi Period Asset Allocation
by: Sun, Queenie, et al.
Published: (2024)