On Safety in Safe Bayesian Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Fiedler, Christian, Menn, Johanna, Kreisköther, Lukas, Trimpe, Sebastian |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Safety in safe Bayesian optimization and its ramifications for control
by: Fiedler, Christian, et al.
Published: (2025)
by: Fiedler, Christian, et al.
Published: (2025)
Local Preferential Bayesian Optimization
by: Menn, Johanna, et al.
Published: (2026)
by: Menn, Johanna, et al.
Published: (2026)
Lipschitz Safe Bayesian Optimization for Automotive Control
by: Menn, Johanna, et al.
Published: (2025)
by: Menn, Johanna, et al.
Published: (2025)
Preferential Bayesian Optimization with Crash Feedback
by: Menn, Johanna, et al.
Published: (2026)
by: Menn, Johanna, et al.
Published: (2026)
BayeSQP: Bayesian Optimization through Sequential Quadratic Programming
by: Brunzema, Paul, et al.
Published: (2026)
by: Brunzema, Paul, et al.
Published: (2026)
CHEQ-ing the Box: Safe Variable Impedance Learning for Robotic Polishing
by: Cramer, Emma, et al.
Published: (2025)
by: Cramer, Emma, et al.
Published: (2025)
Kernel conditional tests from learning-theoretic bounds
by: Massiani, Pierre-François, et al.
Published: (2025)
by: Massiani, Pierre-François, et al.
Published: (2025)
Dyna-Style Safety Augmented Reinforcement Learning: Staying Safe in the Face of Uncertainty
by: Eisele, Artur, et al.
Published: (2026)
by: Eisele, Artur, et al.
Published: (2026)
Event-Triggered Time-Varying Bayesian Optimization
by: Brunzema, Paul, et al.
Published: (2022)
by: Brunzema, Paul, et al.
Published: (2022)
Viability of Future Actions: Robust Safety in Reinforcement Learning via Entropy Regularization
by: Massiani, Pierre-François, et al.
Published: (2025)
by: Massiani, Pierre-François, et al.
Published: (2025)
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)
Local Entropy Search over Descent Sequences for Bayesian Optimization
by: Stenger, David, et al.
Published: (2025)
by: Stenger, David, et al.
Published: (2025)
Uncertainty-Aware Predictive Safety Filters for Probabilistic Neural Network Dynamics
by: Frauenknecht, Bernd, et al.
Published: (2026)
by: Frauenknecht, Bernd, et al.
Published: (2026)
Safe Value Functions
by: Massiani, Pierre-François, et al.
Published: (2021)
by: Massiani, Pierre-François, et al.
Published: (2021)
Bayesian Optimization via Continual Variational Last Layer Training
by: Brunzema, Paul, et al.
Published: (2024)
by: Brunzema, Paul, et al.
Published: (2024)
Automatic nonlinear MPC approximation with closed-loop guarantees
by: Tokmak, Abdullah, et al.
Published: (2023)
by: Tokmak, Abdullah, et al.
Published: (2023)
MPX: Mixed Precision Training for JAX
by: Gräfe, Alexander, et al.
Published: (2025)
by: Gräfe, Alexander, et al.
Published: (2025)
Robust Entropy Search for Safe Efficient Bayesian Optimization
by: Weichert, Dorina, et al.
Published: (2024)
by: Weichert, Dorina, et al.
Published: (2024)
Learning Hybrid Dynamics Models With Simulator-Informed Latent States
by: Ensinger, Katharina, et al.
Published: (2023)
by: Ensinger, Katharina, et al.
Published: (2023)
Towards Safe Multi-Task Bayesian Optimization
by: Lübsen, Jannis O., et al.
Published: (2023)
by: Lübsen, Jannis O., et al.
Published: (2023)
Exact Inference for Continuous-Time Gaussian Process Dynamics
by: Ensinger, Katharina, et al.
Published: (2023)
by: Ensinger, Katharina, et al.
Published: (2023)
Learning to Race in Minutes: Infoprop Dyna on the Mini Wheelbot
by: Subhasish, Devdutt, et al.
Published: (2026)
by: Subhasish, Devdutt, et al.
Published: (2026)
On the Consistency of Kernel Methods with Dependent Observations
by: Massiani, Pierre-François, et al.
Published: (2024)
by: Massiani, Pierre-François, et al.
Published: (2024)
Statistical Learning Theory for Distributional Classification
by: Fiedler, Christian
Published: (2026)
by: Fiedler, Christian
Published: (2026)
Information-Theoretic Safe Bayesian Optimization
by: Bottero, Alessandro G., et al.
Published: (2024)
by: Bottero, Alessandro G., 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)
No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraints
by: Losalka, Arpan, et al.
Published: (2024)
by: Losalka, Arpan, et al.
Published: (2024)
Contextualized Hybrid Ensemble Q-learning: Learning Fast with Control Priors
by: Cramer, Emma, et al.
Published: (2024)
by: Cramer, Emma, et al.
Published: (2024)
RockNet: Distributed Learning on Ultra-Low-Power Devices
by: Gräfe, Alexander, et al.
Published: (2025)
by: Gräfe, Alexander, et al.
Published: (2025)
Concept Extraction for Time Series with ECLAD-ts
by: Holzapfel, Antonia, et al.
Published: (2025)
by: Holzapfel, Antonia, et al.
Published: (2025)
Biased Dreams: Limitations to Epistemic Uncertainty Quantification in Latent Space Models
by: Berger, Julia, et al.
Published: (2026)
by: Berger, Julia, et al.
Published: (2026)
On Rollouts in Model-Based Reinforcement Learning
by: Frauenknecht, Bernd, et al.
Published: (2025)
by: Frauenknecht, Bernd, et al.
Published: (2025)
Improved uncertainty quantification for neural networks with Bayesian last layer
by: Fiedler, Felix, et al.
Published: (2023)
by: Fiedler, Felix, et al.
Published: (2023)
Distributed Event-Based Learning via ADMM
by: Er, Guner Dilsad, et al.
Published: (2024)
by: Er, Guner Dilsad, et al.
Published: (2024)
A Systems-Theoretic View on the Convergence of Algorithms under Disturbances
by: Er, Guner Dilsad, et al.
Published: (2025)
by: Er, Guner Dilsad, et al.
Published: (2025)
Parameter-Adaptive Approximate MPC: Tuning Neural-Network Controllers without Retraining
by: Hose, Henrik, et al.
Published: (2024)
by: Hose, Henrik, et al.
Published: (2024)
Tracking Object Positions in Reinforcement Learning: A Metric for Keypoint Detection (extended version)
by: Cramer, Emma, et al.
Published: (2023)
by: Cramer, Emma, et al.
Published: (2023)
Safe Bayesian Optimization for the Control of High-Dimensional Embodied Systems
by: Wei, Yunyue, et al.
Published: (2024)
by: Wei, Yunyue, et al.
Published: (2024)
Pseudo-rigid body networks: learning interpretable deformable object dynamics from partial observations
by: Mamedov, Shamil, et al.
Published: (2023)
by: Mamedov, Shamil, et al.
Published: (2023)
Trust the Model Where It Trusts Itself -- Model-Based Actor-Critic with Uncertainty-Aware Rollout Adaption
by: Frauenknecht, Bernd, et al.
Published: (2024)
by: Frauenknecht, Bernd, et al.
Published: (2024)
Similar Items
-
Safety in safe Bayesian optimization and its ramifications for control
by: Fiedler, Christian, et al.
Published: (2025) -
Local Preferential Bayesian Optimization
by: Menn, Johanna, et al.
Published: (2026) -
Lipschitz Safe Bayesian Optimization for Automotive Control
by: Menn, Johanna, et al.
Published: (2025) -
Preferential Bayesian Optimization with Crash Feedback
by: Menn, Johanna, et al.
Published: (2026) -
BayeSQP: Bayesian Optimization through Sequential Quadratic Programming
by: Brunzema, Paul, et al.
Published: (2026)