Event-Triggered Time-Varying Bayesian Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Brunzema, Paul, von Rohr, Alexander, Solowjow, Friedrich, Trimpe, Sebastian |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
BayeSQP: Bayesian Optimization through Sequential Quadratic Programming
by: Brunzema, Paul, et al.
Published: (2026)
by: Brunzema, Paul, et al.
Published: (2026)
Local Preferential Bayesian Optimization
by: Menn, Johanna, et al.
Published: (2026)
by: Menn, Johanna, et al.
Published: (2026)
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)
Bayesian Optimization via Continual Variational Last Layer Training
by: Brunzema, Paul, et al.
Published: (2024)
by: Brunzema, Paul, et al.
Published: (2024)
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)
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)
On Rollouts in Model-Based Reinforcement Learning
by: Frauenknecht, Bernd, et al.
Published: (2025)
by: Frauenknecht, Bernd, et al.
Published: (2025)
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)
Fine-Tuning of Neural Network Approximate MPC without Retraining via Bayesian Optimization
by: Hose, Henrik, et al.
Published: (2025)
by: Hose, Henrik, et al.
Published: (2025)
Safe Value Functions
by: Massiani, Pierre-François, et al.
Published: (2021)
by: Massiani, Pierre-François, et al.
Published: (2021)
On Foundation Models for Dynamical Systems from Purely Synthetic Data
by: Ziegler, Martin, et al.
Published: (2024)
by: Ziegler, Martin, et al.
Published: (2024)
Kernel conditional tests from learning-theoretic bounds
by: Massiani, Pierre-François, et al.
Published: (2025)
by: Massiani, Pierre-François, et al.
Published: (2025)
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)
Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF
by: Holtmann, Tobin, et al.
Published: (2025)
by: Holtmann, Tobin, et al.
Published: (2025)
Simulation-Aided Policy Tuning for Black-Box Robot Learning
by: He, Shiming, et al.
Published: (2024)
by: He, Shiming, et al.
Published: (2024)
Utilizing Bayesian Optimization for Timetable-Independent Railway Junction Performance Determination
by: Emunds, Tamme, et al.
Published: (2025)
by: Emunds, Tamme, et al.
Published: (2025)
Data-Driven Observability Analysis for Nonlinear Stochastic Systems
by: Massiani, Pierre-François, et al.
Published: (2023)
by: Massiani, Pierre-François, et al.
Published: (2023)
On Safety in Safe Bayesian Optimization
by: Fiedler, Christian, et al.
Published: (2024)
by: Fiedler, Christian, et al.
Published: (2024)
MPX: Mixed Precision Training for JAX
by: Gräfe, Alexander, et al.
Published: (2025)
by: Gräfe, Alexander, et al.
Published: (2025)
Safety in safe Bayesian optimization and its ramifications for control
by: Fiedler, Christian, et al.
Published: (2025)
by: Fiedler, Christian, et al.
Published: (2025)
Distributed Event-Based Learning via ADMM
by: Er, Guner Dilsad, et al.
Published: (2024)
by: Er, Guner Dilsad, et al.
Published: (2024)
Asymptotic Performance of Time-Varying Bayesian Optimization
by: Bardou, Anthony, et al.
Published: (2025)
by: Bardou, Anthony, et al.
Published: (2025)
Exact Inference for Continuous-Time Gaussian Process Dynamics
by: Ensinger, Katharina, et al.
Published: (2023)
by: Ensinger, Katharina, et al.
Published: (2023)
Time-Varying Bayesian Optimization Without a Metronome
by: Bardou, Anthony, et al.
Published: (2025)
by: Bardou, Anthony, 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)
Hierarchical Event-triggered Learning for Cyclically Excited Systems with Application to Wireless Sensor Networks
by: Beuchert, Jonas, et al.
Published: (2019)
by: Beuchert, Jonas, et al.
Published: (2019)
Learning Hybrid Dynamics Models With Simulator-Informed Latent States
by: Ensinger, Katharina, et al.
Published: (2023)
by: Ensinger, Katharina, et al.
Published: (2023)
RockNet: Distributed Learning on Ultra-Low-Power Devices
by: Gräfe, Alexander, et al.
Published: (2025)
by: Gräfe, Alexander, 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)
The Mini Wheelbot Dataset: High-Fidelity Data for Robot Learning
by: Hose, Henrik, et al.
Published: (2026)
by: Hose, Henrik, et al.
Published: (2026)
Robust Direct Data-Driven Control for Probabilistic Systems
by: von Rohr, Alexander, et al.
Published: (2023)
by: von Rohr, Alexander, et al.
Published: (2023)
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)
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)
scipy.spatial.transform: Differentiable Framework-Agnostic 3D Transformations in Python
by: Schuck, Martin, et al.
Published: (2025)
by: Schuck, Martin, et al.
Published: (2025)
Contextualized Hybrid Ensemble Q-learning: Learning Fast with Control Priors
by: Cramer, Emma, et al.
Published: (2024)
by: Cramer, Emma, et al.
Published: (2024)
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)
Bayesian Optimization for Unknown Cost-Varying Variable Subsets with No-Regret Costs
by: Hoang, Vu Viet, et al.
Published: (2024)
by: Hoang, Vu Viet, 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)
Diffusion Predictive Control with Constraints
by: Römer, Ralf, et al.
Published: (2024)
by: Römer, Ralf, et al.
Published: (2024)
Similar Items
-
BayeSQP: Bayesian Optimization through Sequential Quadratic Programming
by: Brunzema, Paul, et al.
Published: (2026) -
Local Preferential Bayesian Optimization
by: Menn, Johanna, et al.
Published: (2026) -
Local Bayesian Optimization for Controller Tuning with Crash Constraints
by: von Rohr, Alexander, et al.
Published: (2024) -
Local Entropy Search over Descent Sequences for Bayesian Optimization
by: Stenger, David, et al.
Published: (2025) -
Bayesian Optimization via Continual Variational Last Layer Training
by: Brunzema, Paul, et al.
Published: (2024)