OPBO: Order-Preserving Bayesian Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Peng, Wei, Hu, Jianchen, Liu, Kang, Zhai, Qiaozhu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Budget-aware Auto Optimizer Configurator
by: Liu, Kang, et al.
Published: (2026)
by: Liu, Kang, et al.
Published: (2026)
Learning based convex approximation for constrained parametric optimization
by: Liu, Kang, et al.
Published: (2025)
by: Liu, Kang, et al.
Published: (2025)
SOC-ICNN: From Polyhedral to Conic Geometry for Learning Convex Surrogate Functions
by: Liu, Kang, et al.
Published: (2026)
by: Liu, Kang, et al.
Published: (2026)
Exact Dual Geometry of SOC-ICNN Value Functions
by: Liu, Kang, et al.
Published: (2026)
by: Liu, Kang, et al.
Published: (2026)
Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic Optimization
by: Sahinoglu, Emre, et al.
Published: (2024)
by: Sahinoglu, Emre, et al.
Published: (2024)
Towards Safe Multi-Task Bayesian Optimization
by: Lübsen, Jannis O., et al.
Published: (2023)
by: Lübsen, Jannis O., et al.
Published: (2023)
An Analysis of Safety Guarantees in Multi-Task Bayesian Optimization
by: Luebsen, Jannis O., et al.
Published: (2025)
by: Luebsen, Jannis O., et al.
Published: (2025)
Falsification of Cyber-Physical Systems using Bayesian Optimization
by: Ramezani, Zahra, et al.
Published: (2022)
by: Ramezani, Zahra, et al.
Published: (2022)
Local Bayesian Optimization for Controller Tuning with Crash Constraints
by: von Rohr, Alexander, et al.
Published: (2024)
by: von Rohr, Alexander, et al.
Published: (2024)
Stability-informed Bayesian Optimization for MPC Cost Function Learning
by: Hirt, Sebastian, et al.
Published: (2024)
by: Hirt, Sebastian, et al.
Published: (2024)
Automated Discovery of Laser Dicing Processes with Bayesian Optimization for Semiconductor Manufacturing
by: Leeftink, David, et al.
Published: (2025)
by: Leeftink, David, et al.
Published: (2025)
Convolutional Bayesian Filtering
by: Cao, Wenhan, et al.
Published: (2024)
by: Cao, Wenhan, et al.
Published: (2024)
On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems
by: Muehlebach, Michael, et al.
Published: (2021)
by: Muehlebach, Michael, et al.
Published: (2021)
Primitive Agentic First-Order Optimization
by: Sala, R.
Published: (2024)
by: Sala, R.
Published: (2024)
Automated and Risk-Aware Engine Control Calibration Using Constrained Bayesian Optimization
by: Vlaswinkel, Maarten, et al.
Published: (2025)
by: Vlaswinkel, Maarten, et al.
Published: (2025)
Safe Bayesian Optimization for Uncertain Correlation Matrices in Linear Models of Co-Regionalization
by: Lübsen, Jannis, et al.
Published: (2026)
by: Lübsen, Jannis, et al.
Published: (2026)
Parameter Identification for Electrochemical Models of Lithium-Ion Batteries Using Bayesian Optimization
by: Pi, Jianzong, et al.
Published: (2024)
by: Pi, Jianzong, et al.
Published: (2024)
Learning-assisted Stochastic Capacity Expansion Planning: A Bayesian Optimization Approach
by: Brenner, Aron, et al.
Published: (2024)
by: Brenner, Aron, et al.
Published: (2024)
Optimal Parameter Adaptation for Safety-Critical Control via Safe Barrier Bayesian Optimization
by: Wang, Shengbo, et al.
Published: (2025)
by: Wang, Shengbo, et al.
Published: (2025)
Learning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging
by: Hirt, Sebastian, et al.
Published: (2024)
by: Hirt, Sebastian, et al.
Published: (2024)
Optimizing Falsification for Learning-Based Control Systems: A Multi-Fidelity Bayesian Approach
by: Shahrooei, Zahra, et al.
Published: (2024)
by: Shahrooei, Zahra, et al.
Published: (2024)
Model-Agnostic Zeroth-Order Policy Optimization for Meta-Learning of Ergodic Linear Quadratic Regulators
by: Pan, Yunian, et al.
Published: (2024)
by: Pan, Yunian, et al.
Published: (2024)
Adaptive Bayesian Optimization for High-Precision Motion Systems
by: König, Christopher, et al.
Published: (2024)
by: König, Christopher, et al.
Published: (2024)
Zeroth-Order Optimization at the Edge of Stability
by: Song, Minhak, et al.
Published: (2026)
by: Song, Minhak, et al.
Published: (2026)
Curvature-aware Expected Free Energy as an Acquisition Function for Bayesian Optimization
by: Meera, Ajith Anil, et al.
Published: (2026)
by: Meera, Ajith Anil, et al.
Published: (2026)
Optimization Proxies using Limited Labeled Data and Training Time -- A Semi-Supervised Bayesian Neural Network Approach
by: Pareek, Parikshit, et al.
Published: (2024)
by: Pareek, Parikshit, et al.
Published: (2024)
Geometry-Preserving Neural Architectures on Manifolds with Boundary
by: Elamvazhuthi, Karthik, et al.
Published: (2026)
by: Elamvazhuthi, Karthik, et al.
Published: (2026)
UAV Trajectory Optimization via Improved Noisy Deep Q-Network
by: Hengyu, Zhang, et al.
Published: (2026)
by: Hengyu, Zhang, et al.
Published: (2026)
Real-Time Adaptive Safety-Critical Control with Gaussian Processes in High-Order Uncertain Models
by: Zhang, Yu, et al.
Published: (2024)
by: Zhang, Yu, et al.
Published: (2024)
Region of Attraction for Power Systems using Gaussian Process and Converse Lyapunov Function -- Part I: Theoretical Framework and Off-line Study
by: Zhai, Chao, et al.
Published: (2019)
by: Zhai, Chao, et al.
Published: (2019)
Privacy-Preserving Federated Learning Framework for Distributed Chemical Process Optimization
by: Pipattaratonchai, Teetat, et al.
Published: (2026)
by: Pipattaratonchai, Teetat, et al.
Published: (2026)
Hybrid Energy-Aware Reward Shaping: A Unified Lightweight Physics-Guided Methodology for Policy Optimization
by: Liao, Qijun, et al.
Published: (2026)
by: Liao, Qijun, et al.
Published: (2026)
Constructive Lyapunov Functions via Topology-Preserving Neural Networks
by: Oh, Jaehong
Published: (2025)
by: Oh, Jaehong
Published: (2025)
Structure- and Stability-Preserving Learning of Port-Hamiltonian Systems
by: Nguyen, Binh, et al.
Published: (2026)
by: Nguyen, Binh, et al.
Published: (2026)
Reliability Analysis of Complex Multi-State System Based on Universal Generating Function and Bayesian Network
by: Liu, Xu, et al.
Published: (2022)
by: Liu, Xu, et al.
Published: (2022)
Distributionally Robust PAC-Bayesian Control
by: Herceg, Domagoj, et al.
Published: (2026)
by: Herceg, Domagoj, et al.
Published: (2026)
Provable Bounds on the Hessian of Neural Networks: Derivative-Preserving Reachability Analysis
by: Sharifi, Sina, et al.
Published: (2024)
by: Sharifi, Sina, et al.
Published: (2024)
On the hierarchical Bayesian modelling of frequency response functions
by: Dardeno, T. A., et al.
Published: (2023)
by: Dardeno, T. A., et al.
Published: (2023)
Bayesian meta learning for trustworthy uncertainty quantification
by: Yuan, Zhenyuan, et al.
Published: (2024)
by: Yuan, Zhenyuan, et al.
Published: (2024)
Towards safe Bayesian optimization with Wiener kernel regression
by: Molodchyk, Oleksii, et al.
Published: (2024)
by: Molodchyk, Oleksii, et al.
Published: (2024)
Similar Items
-
Budget-aware Auto Optimizer Configurator
by: Liu, Kang, et al.
Published: (2026) -
Learning based convex approximation for constrained parametric optimization
by: Liu, Kang, et al.
Published: (2025) -
SOC-ICNN: From Polyhedral to Conic Geometry for Learning Convex Surrogate Functions
by: Liu, Kang, et al.
Published: (2026) -
Exact Dual Geometry of SOC-ICNN Value Functions
by: Liu, Kang, et al.
Published: (2026) -
Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic Optimization
by: Sahinoglu, Emre, et al.
Published: (2024)