Imagen de Portada

An Analysis of Safety Guarantees in Multi-Task Bayesian Optimization

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Luebsen, Jannis O., Eichler, Annika
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Systems and Control
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Towards Safe Multi-Task Bayesian Optimization
por: Lübsen, Jannis O., et al.
Publicado: (2023)

Safe Bayesian Optimization for Uncertain Correlation Matrices in Linear Models of Co-Regionalization
por: Lübsen, Jannis, et al.
Publicado: (2026)

Robust Nonlinear System Identification in Reproducing Kernel Hilbert Spaces via Scenario Optimization
por: Lübsen, Jannis, et al.
Publicado: (2026)

Optimal Parameter Adaptation for Safety-Critical Control via Safe Barrier Bayesian Optimization
por: Wang, Shengbo, et al.
Publicado: (2025)

Pick-to-Learn for Systems and Control: Data-driven Synthesis with State-of-the-art Safety Guarantees
por: Paccagnan, Dario, et al.
Publicado: (2025)

Multi-agent Multi-armed Bandits with Minimum Reward Guarantee Fairness
por: Manupriya, Piyushi, et al.
Publicado: (2025)

Probabilistic Safety Guarantee for Stochastic Control Systems Using Average Reward MDPs
por: Omidi, Saber, et al.
Publicado: (2025)

Safety in safe Bayesian optimization and its ramifications for control
por: Fiedler, Christian, et al.
Publicado: (2025)

A new perspective on Bayesian Operational Modal Analysis
por: O'Connell, Brandon J., et al.
Publicado: (2024)

Finite-Time Guarantees for Multi-Agent Combinatorial Bandits with Nonstationary Rewards
por: Adams, Katherine B., et al.
Publicado: (2025)

Optimizing Falsification for Learning-Based Control Systems: A Multi-Fidelity Bayesian Approach
por: Shahrooei, Zahra, et al.
Publicado: (2024)

Data-Driven Reachability Analysis via Diffusion Models with PAC Guarantees
por: Huang, Yanliang, et al.
Publicado: (2026)

OPBO: Order-Preserving Bayesian Optimization
por: Peng, Wei, et al.
Publicado: (2025)

Reliability Analysis of Complex Multi-State System Based on Universal Generating Function and Bayesian Network
por: Liu, Xu, et al.
Publicado: (2022)

Falsification of Cyber-Physical Systems using Bayesian Optimization
por: Ramezani, Zahra, et al.
Publicado: (2022)

Local Bayesian Optimization for Controller Tuning with Crash Constraints
por: von Rohr, Alexander, et al.
Publicado: (2024)

Safe LLM-Controlled Robots with Formal Guarantees via Reachability Analysis
por: Hafez, Ahmad, et al.
Publicado: (2025)

Stability-informed Bayesian Optimization for MPC Cost Function Learning
por: Hirt, Sebastian, et al.
Publicado: (2024)

Neural Operators for Multi-Task Control and Adaptation
por: Sewell, David, et al.
Publicado: (2026)

Safety Optimized Reinforcement Learning via Multi-Objective Policy Optimization
por: Honari, Homayoun, et al.
Publicado: (2024)

Automated Discovery of Laser Dicing Processes with Bayesian Optimization for Semiconductor Manufacturing
por: Leeftink, David, et al.
Publicado: (2025)

Leveraging Multi-Task Learning for Multi-Label Power System Security Assessment
por: Za'ter, Muhy Eddin, et al.
Publicado: (2025)

Structured Cooperative Multi-Agent Reinforcement Learning: a Bayesian Network Perspective
por: Syed, Shahbaz P Qadri, et al.
Publicado: (2025)

Towards Fast Rates for Federated and Multi-Task Reinforcement Learning
por: Zhu, Feng, et al.
Publicado: (2024)

Automated and Risk-Aware Engine Control Calibration Using Constrained Bayesian Optimization
por: Vlaswinkel, Maarten, et al.
Publicado: (2025)

Parameter Identification for Electrochemical Models of Lithium-Ion Batteries Using Bayesian Optimization
por: Pi, Jianzong, et al.
Publicado: (2024)

Learning-assisted Stochastic Capacity Expansion Planning: A Bayesian Optimization Approach
por: Brenner, Aron, et al.
Publicado: (2024)

Training Task Reasoning LLM Agents for Multi-turn Task Planning via Single-turn Reinforcement Learning
por: Hu, Hanjiang, et al.
Publicado: (2025)

Imitation Learning of MPC with Neural Networks: Error Guarantees and Sparsification
por: Alsmeier, Hendrik, et al.
Publicado: (2025)

Synthesizing Neural Network Controllers with Closed-Loop Dissipativity Guarantees
por: Junnarkar, Neelay, et al.
Publicado: (2024)

Guaranteeing Control Requirements via Reward Shaping in Reinforcement Learning
por: De Lellis, Francesco, et al.
Publicado: (2023)

Multi-CALF: A Policy Combination Approach with Statistical Guarantees
por: Malaniya, Georgiy, et al.
Publicado: (2025)

On Stability in Optimistic Bilevel Optimization
por: Royset, Johannes O.
Publicado: (2024)

DIAL: Distribution-Informed Adaptive Learning of Multi-Task Constraints for Safety-Critical Systems
por: Yoo, Se-Wook, et al.
Publicado: (2025)

Learning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging
por: Hirt, Sebastian, et al.
Publicado: (2024)

Safe Guaranteed Exploration for Non-linear Systems
por: Prajapat, Manish, et al.
Publicado: (2024)

Optimization and Learning in Open Multi-Agent Systems
por: Deplano, Diego, et al.
Publicado: (2025)

ECO: Energy-Constrained Operator Learning for Chaotic Dynamics with Boundedness Guarantees
por: Goertzen, Andrea, et al.
Publicado: (2025)

Global Performance Guarantees for Neural Network Models of AC Power Flow
por: Chevalier, Samuel, et al.
Publicado: (2022)

Any-Time Regret-Guaranteed Algorithm for Control of Linear Quadratic Systems
por: Chekan, Jafar Abbaszadeh, et al.
Publicado: (2024)