Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling
Fuente:
arXiv
Guardado en:
| Autor principal: | Gadde, Nishant |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Uncertainty Quantification Methods for Optimal Excitation Design in Parameter Identification
por: Schmidt, Kevin, et al.
Publicado: (2026)
por: Schmidt, Kevin, et al.
Publicado: (2026)
Uncertainty Quantification in Data-Driven Inverse Optimization via Bayesian Inference
por: Chan, Timothy C. Y., et al.
Publicado: (2026)
por: Chan, Timothy C. Y., et al.
Publicado: (2026)
Multi-fidelity Machine Learning for Uncertainty Quantification and Optimization
por: Zhang, Ruda, et al.
Publicado: (2024)
por: Zhang, Ruda, et al.
Publicado: (2024)
The Benefit of Uncertainty Coupling in Robust and Adaptive Robust Optimization
por: Bertsimas, Dimitris, et al.
Publicado: (2023)
por: Bertsimas, Dimitris, et al.
Publicado: (2023)
Interpreting Adaptive Gradient Methods by Parameter Scaling for Learning-Rate-Free Optimization
por: Suh, Min-Kook, et al.
Publicado: (2024)
por: Suh, Min-Kook, et al.
Publicado: (2024)
An Adaptive and Parameter-Free Nesterov's Accelerated Gradient Method for Convex Optimization
por: Suh, Jaewook J., et al.
Publicado: (2025)
por: Suh, Jaewook J., et al.
Publicado: (2025)
Stochastic Error Bounds in Nonlinear Model Predictive Control with Gaussian Processes via Parameter-Varying Embeddings
por: Karachalios, Dimitrios S., et al.
Publicado: (2024)
por: Karachalios, Dimitrios S., et al.
Publicado: (2024)
Conformal Contraction for Robust Nonlinear Control with Distribution-Free Uncertainty Quantification
por: Wei, Sihang, et al.
Publicado: (2025)
por: Wei, Sihang, et al.
Publicado: (2025)
Curvature-Adaptive Perturbation and Subspace Descent for Robust Saddle Point Escape in High-Dimensional Optimization
por: Katende, Ronald, et al.
Publicado: (2024)
por: Katende, Ronald, et al.
Publicado: (2024)
Adaptive Robust Optimization Models for DER Planning in Distribution Networks under Long- and Short-Term Uncertainties
por: García-Muñoz, Fernando, et al.
Publicado: (2025)
por: García-Muñoz, Fernando, et al.
Publicado: (2025)
Time-varying Gaussian Process Bandit Optimization with Experts: no-regret in logarithmically-many side queries
por: Mauduit, Eliabelle, et al.
Publicado: (2025)
por: Mauduit, Eliabelle, et al.
Publicado: (2025)
Wasserstein Barycenter Gaussian Process based Bayesian Optimization
por: Candelieri, Antonio, et al.
Publicado: (2025)
por: Candelieri, Antonio, et al.
Publicado: (2025)
No-Regret Gaussian Process Optimization of Time-Varying Functions
por: Mauduit, Eliabelle, et al.
Publicado: (2025)
por: Mauduit, Eliabelle, et al.
Publicado: (2025)
Bayesian Optimization under Uncertainty for Training a Scale Parameter in Stochastic Models
por: Yadav, Akash, et al.
Publicado: (2025)
por: Yadav, Akash, et al.
Publicado: (2025)
LDAdam: Adaptive Optimization from Low-Dimensional Gradient Statistics
por: Robert, Thomas, et al.
Publicado: (2024)
por: Robert, Thomas, et al.
Publicado: (2024)
Efficient Line Search Method Based on Regression and Uncertainty Quantification
por: Laue, Sören, et al.
Publicado: (2024)
por: Laue, Sören, et al.
Publicado: (2024)
Uncertainty Quantification of Set-Membership Estimation in Control and Perception: Revisiting the Minimum Enclosing Ellipsoid
por: Tang, Yukai, et al.
Publicado: (2023)
por: Tang, Yukai, et al.
Publicado: (2023)
Robust Feedback Optimization with Model Uncertainty: A Regularization Approach
por: Chan, Winnie, et al.
Publicado: (2025)
por: Chan, Winnie, et al.
Publicado: (2025)
Large-Scale Resilience Planning for Wildfire-Prone Electricity-System via Adaptive Robust Optimization
por: Chen, Shuyi, et al.
Publicado: (2026)
por: Chen, Shuyi, et al.
Publicado: (2026)
Accelerating Adaptive Systems via Normalized Parameter Estimation Laws
por: Boveiri, Mohammad, et al.
Publicado: (2025)
por: Boveiri, Mohammad, et al.
Publicado: (2025)
Online Optimization with Unknown Time-varying Parameters
por: Tripathi, Shivanshu, et al.
Publicado: (2025)
por: Tripathi, Shivanshu, et al.
Publicado: (2025)
An Adaptive Parameter-free and Projection-free Restarting Level Set Method for Constrained Convex Optimization Under the Error Bound Condition
por: Lin, Qihang, et al.
Publicado: (2020)
por: Lin, Qihang, et al.
Publicado: (2020)
Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization
por: Kiroriwal, Saksham, et al.
Publicado: (2026)
por: Kiroriwal, Saksham, et al.
Publicado: (2026)
Data Informativeness in Linear Optimization under Uncertainty
por: Bennouna, Omar, et al.
Publicado: (2026)
por: Bennouna, Omar, et al.
Publicado: (2026)
Robust Optimization Under Objective Functional Uncertainty
por: Song, Yue, et al.
Publicado: (2026)
por: Song, Yue, et al.
Publicado: (2026)
A Parameter-free Decentralized Algorithm for Composite Convex Optimization
por: Chen, Xiaokai, et al.
Publicado: (2025)
por: Chen, Xiaokai, et al.
Publicado: (2025)
Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization
por: Tran-The, Hung, et al.
Publicado: (2022)
por: Tran-The, Hung, et al.
Publicado: (2022)
On Data-Driven Robust Optimization With Multiple Uncertainty Subsets: Unified Uncertainty Set Representation and Mitigating Conservatism
por: Li, Yun, et al.
Publicado: (2025)
por: Li, Yun, et al.
Publicado: (2025)
Conformal Uncertainty Quantification of Electricity Price Predictions for Risk-Averse Storage Arbitrage
por: Alghumayjan, Saud, et al.
Publicado: (2024)
por: Alghumayjan, Saud, et al.
Publicado: (2024)
Distributionally Robust Model Predictive Control with Mixture of Gaussian Processes
por: Wu, Jingyi, et al.
Publicado: (2025)
por: Wu, Jingyi, et al.
Publicado: (2025)
Safe Exploration for Nonlinear Processes Using Online Gaussian Process Learning
por: Tonini, Stefano, et al.
Publicado: (2026)
por: Tonini, Stefano, et al.
Publicado: (2026)
IoT-based Fresh Produce Supply Chain Under Uncertainty: An Adaptive Optimization Framework
por: Seth, Chirag, et al.
Publicado: (2025)
por: Seth, Chirag, et al.
Publicado: (2025)
Composite Adaptive Control Barrier Functions for Safety-Critical Systems with Parametric Uncertainty
por: Kamaldar, Mohammadreza
Publicado: (2026)
por: Kamaldar, Mohammadreza
Publicado: (2026)
Learning Decision-Focused Uncertainty Sets in Robust Optimization
por: Wang, Irina, et al.
Publicado: (2023)
por: Wang, Irina, et al.
Publicado: (2023)
Parameter-Efficient Subspace Optimization for LLM Fine-Tuning
por: Lou, Yuchen, et al.
Publicado: (2025)
por: Lou, Yuchen, et al.
Publicado: (2025)
Maintenance Optimization for Asset Networks with Unknown Degradation Parameters
por: Verleijsdonk, Peter, et al.
Publicado: (2024)
por: Verleijsdonk, Peter, et al.
Publicado: (2024)
Universal and Parameter-free Gradient Sliding for Composite Optimization
por: Wu, Yan, et al.
Publicado: (2026)
por: Wu, Yan, et al.
Publicado: (2026)
Policy Optimization with Differentiable MPC: Convergence Analysis under Uncertainty
por: Zuliani, Riccardo, et al.
Publicado: (2026)
por: Zuliani, Riccardo, et al.
Publicado: (2026)
Unified Control Framework: A Novel Perspective on Constrained Optimization, Optimization-based Control, and Parameter Estimation
por: Gunjal, Revati, et al.
Publicado: (2024)
por: Gunjal, Revati, et al.
Publicado: (2024)
Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel
por: Li, Jialin, et al.
Publicado: (2024)
por: Li, Jialin, et al.
Publicado: (2024)
Ejemplares similares
-
Uncertainty Quantification Methods for Optimal Excitation Design in Parameter Identification
por: Schmidt, Kevin, et al.
Publicado: (2026) -
Uncertainty Quantification in Data-Driven Inverse Optimization via Bayesian Inference
por: Chan, Timothy C. Y., et al.
Publicado: (2026) -
Multi-fidelity Machine Learning for Uncertainty Quantification and Optimization
por: Zhang, Ruda, et al.
Publicado: (2024) -
The Benefit of Uncertainty Coupling in Robust and Adaptive Robust Optimization
por: Bertsimas, Dimitris, et al.
Publicado: (2023) -
Interpreting Adaptive Gradient Methods by Parameter Scaling for Learning-Rate-Free Optimization
por: Suh, Min-Kook, et al.
Publicado: (2024)