Imagen de Portada

Beyond Objective-Based Improvement: Stationarity-Aware Expected Improvement for Bayesian Optimization

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ip, Joshua Hang Sai, Makrygiorgos, Georgios, Mesbah, Ali
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Towards Scalable Bayesian Optimization via Gradient-Informed Bayesian Neural Networks
por: Makrygiorgos, Georgios, et al.
Publicado: (2025)

Lyapunov Neural ODE State-Feedback Control Policies
por: Ip, Joshua Hang Sai, et al.
Publicado: (2024)

User Preference Meets Pareto-Optimality in Multi-Objective Bayesian Optimization
por: Ip, Joshua Hang Sai, et al.
Publicado: (2025)

Unexpected Improvements to Expected Improvement for Bayesian Optimization
por: Ament, Sebastian, et al.
Publicado: (2023)

Bayesian Optimization with Expected Improvement: No Regret and the Choice of Incumbent
por: Wang, Jingyi, et al.
Publicado: (2025)

Regret Analysis of Posterior Sampling-Based Expected Improvement for Bayesian Optimization
por: Takeno, Shion, et al.
Publicado: (2025)

Expected Coordinate Improvement for High-Dimensional Bayesian Optimization
por: Zhan, Dawei
Publicado: (2024)

On the convergence rate of noisy Bayesian Optimization with Expected Improvement
por: Wang, Jingyi, et al.
Publicado: (2025)

A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization
por: Cheng, Nuojin, et al.
Publicado: (2025)

Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization
por: Hu, Shouri, et al.
Publicado: (2022)

Regional Expected Improvement for Efficient Trust Region Selection in High-Dimensional Bayesian Optimization
por: Namura, Nobuo, et al.
Publicado: (2024)

Convergence Rates of Constrained Expected Improvement
por: Wang, Haowei, et al.
Publicado: (2025)

Derivation of Closed Form of Expected Improvement for Gaussian Process Trained on Log-Transformed Objective
por: Watanabe, Shuhei
Publicado: (2024)

Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization
por: Tran-The, Hung, et al.
Publicado: (2022)

Variational Entropy Search for Adjusting Expected Improvement
por: Cheng, Nuojin, et al.
Publicado: (2024)

Quantum Bayesian Optimization for Quality Improvement in Fuselage Assembly
por: Liu, Jiayu, et al.
Publicado: (2025)

Integrating Human Expertise in Continuous Spaces: A Novel Interactive Bayesian Optimization Framework with Preference Expected Improvement
por: Feith, Nikolaus, et al.
Publicado: (2024)

Expected Diverse Utility (EDU): Diverse Bayesian Optimization of Expensive Computer Simulators
por: Miller, John Joshua, et al.
Publicado: (2024)

Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization
por: Wang, Hao, et al.
Publicado: (2022)

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

Self-Improvement for Neural Combinatorial Optimization: Sample without Replacement, but Improvement
por: Pirnay, Jonathan, et al.
Publicado: (2024)

SAHOO: Safeguarded Alignment for High-Order Optimization Objectives in Recursive Self-Improvement
por: Sahoo, Subramanyam, et al.
Publicado: (2026)

Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML
por: Deutel, Mark, et al.
Publicado: (2023)

SNPL: Simultaneous Policy Learning and Evaluation for Safe Multi-Objective Policy Improvement
por: Cho, Brian, et al.
Publicado: (2025)

Learning to Adapt: In-Context Learning Beyond Stationarity
por: Qin, Zhen, et al.
Publicado: (2026)

A Trajectory-Based Bayesian Approach to Multi-Objective Hyperparameter Optimization with Epoch-Aware Trade-Offs
por: Wang, Wenyu, et al.
Publicado: (2024)

AutoStan: Autonomous Bayesian Model Improvement via Predictive Feedback
por: Dürr, Oliver
Publicado: (2026)

OASI: Objective-Aware Surrogate Initialization for Multi-Objective Bayesian Optimization in TinyML Keyword Spotting
por: Garai, Soumen, et al.
Publicado: (2025)

Multi-Action Self-Improvement for Neural Combinatorial Optimization
por: Luttmann, Laurin, et al.
Publicado: (2025)

Multi-Objective Causal Bayesian Optimization
por: Bhatija, Shriya, et al.
Publicado: (2025)

Enabling Pareto-Stationarity Exploration in Multi-Objective Reinforcement Learning: A Multi-Objective Weighted-Chebyshev Actor-Critic Approach
por: Hairi, Fnu, et al.
Publicado: (2025)

Going Beyond Heuristics by Imposing Policy Improvement as a Constraint
por: Lee, Chi-Chang, et al.
Publicado: (2025)

Self-Improvement Towards Pareto Optimality: Mitigating Preference Conflicts in Multi-Objective Alignment
por: Li, Moxin, et al.
Publicado: (2025)

Model-free Reinforcement Learning for Model-based Control: Towards Safe, Interpretable and Sample-efficient Agents
por: Banker, Thomas, et al.
Publicado: (2025)

Provable and Practical In-Context Policy Optimization for Self-Improvement
por: Yu, Tianrun, et al.
Publicado: (2026)

Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models
por: Li, Bingdong, et al.
Publicado: (2024)

BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models
por: Villeneuve, Catherine, et al.
Publicado: (2025)

Multi-Objective Multi-Fidelity Bayesian Optimization with Causal Priors
por: Hossen, Md Abir, et al.
Publicado: (2026)

Policy Improvement Reinforcement Learning
por: Wang, Huaiyang, et al.
Publicado: (2026)

Improvement and generalization of ABCD method with Bayesian inference
por: Alvarez, Ezequiel, et al.
Publicado: (2024)