Generative Bayesian Optimization: Generative Models as Acquisition Functions
Fuente:
arXiv
Saved in:
| Main Authors: | Oliveira, Rafael, Steinberg, Daniel M., Bonilla, Edwin V. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Amortized Active Generation of Pareto Sets
by: Steinberg, Daniel M., et al.
Published: (2025)
by: Steinberg, Daniel M., et al.
Published: (2025)
Arrow: A Foundation Model for Causal Discovery
by: Thompson, Ryan, et al.
Published: (2026)
by: Thompson, Ryan, et al.
Published: (2026)
Statistically Efficient Bayesian Sequential Experiment Design via Reinforcement Learning with Cross-Entropy Estimators
by: Blau, Tom, et al.
Published: (2023)
by: Blau, Tom, et al.
Published: (2023)
Bayesian Adaptive Calibration and Optimal Design
by: Oliveira, Rafael, et al.
Published: (2024)
by: Oliveira, Rafael, et al.
Published: (2024)
Causal Preference Elicitation
by: Bonilla, Edwin V., et al.
Published: (2026)
by: Bonilla, Edwin V., et al.
Published: (2026)
Variational Search Distributions
by: Steinberg, Daniel M., et al.
Published: (2024)
by: Steinberg, Daniel M., et al.
Published: (2024)
FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization
by: Chen, Hui, et al.
Published: (2025)
by: Chen, Hui, et al.
Published: (2025)
Thompson Sampling in Function Spaces via Neural Operators
by: Oliveira, Rafael, et al.
Published: (2025)
by: Oliveira, Rafael, et al.
Published: (2025)
Deterministic Global Optimization of the Acquisition Function in Bayesian Optimization: To Do or Not To Do?
by: Georgiou, Anastasia, et al.
Published: (2025)
by: Georgiou, Anastasia, et al.
Published: (2025)
Unleashing the Potential of Acquisition Functions in High-Dimensional Bayesian Optimization
by: Zhao, Jiayu, et al.
Published: (2023)
by: Zhao, Jiayu, et al.
Published: (2023)
Active Flow Matching
by: Grewal, Yashvir S., et al.
Published: (2026)
by: Grewal, Yashvir S., et al.
Published: (2026)
FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch
by: Aglietti, Virginia, et al.
Published: (2024)
by: Aglietti, Virginia, et al.
Published: (2024)
Batch Acquisition Function Evaluations and Decouple Optimizer Updates for Faster Bayesian Optimization
by: Irie, Kaichi, et al.
Published: (2025)
by: Irie, Kaichi, et al.
Published: (2025)
Standard Acquisition Is Sufficient for Asynchronous Bayesian Optimization
by: Riegler, Ben, et al.
Published: (2026)
by: Riegler, Ben, et al.
Published: (2026)
Curvature-aware Expected Free Energy as an Acquisition Function for Bayesian Optimization
by: Meera, Ajith Anil, et al.
Published: (2026)
by: Meera, Ajith Anil, et al.
Published: (2026)
Adaptive Acquisition Selection for Bayesian Optimization with Large Language Models
by: Ngo, Giang, et al.
Published: (2026)
by: Ngo, Giang, et al.
Published: (2026)
AcquisitionSynthesis: Targeted Data Generation using Acquisition Functions
by: Agarwal, Ishika, et al.
Published: (2026)
by: Agarwal, Ishika, et al.
Published: (2026)
Bayesian Vector AutoRegression with Factorised Granger-Causal Graphs
by: Zhao, He, et al.
Published: (2024)
by: Zhao, He, et al.
Published: (2024)
BOOST: A Data-Driven Framework for the Automated Joint Selection of Kernel and Acquisition Functions in Bayesian Optimization
by: Park, Joon-Hyun, et al.
Published: (2025)
by: Park, Joon-Hyun, et al.
Published: (2025)
Bayesian Risk-Sensitive Policy Optimization For MDPs With General Loss Functions
by: Wang, Xiaoshuang, et al.
Published: (2025)
by: Wang, Xiaoshuang, et al.
Published: (2025)
A Unified Framework for Tabular Generative Modeling: Loss Functions, Benchmarks, and Improved Multi-objective Bayesian Optimization Approaches
by: Vu, Minh H., et al.
Published: (2024)
by: Vu, Minh H., et al.
Published: (2024)
Multi-Agent LLMs for Adaptive Acquisition in Bayesian Optimization
by: Carbonati, Andrea, et al.
Published: (2026)
by: Carbonati, Andrea, et al.
Published: (2026)
Bayesian Optimization with Inexact Acquisition: Is Random Grid Search Sufficient?
by: Kim, Hwanwoo, et al.
Published: (2025)
by: Kim, Hwanwoo, et al.
Published: (2025)
Ordering-based Causal Discovery via Generalized Score Matching
by: Vo, Vy, et al.
Published: (2026)
by: Vo, Vy, et al.
Published: (2026)
Nonparametric Bayesian Optimization for General Rewards
by: Zhang, Zishi, et al.
Published: (2026)
by: Zhang, Zishi, et al.
Published: (2026)
Multi-Scale Wavelet Transformers for Operator Learning of Dynamical Systems
by: Wang, Xuesong, et al.
Published: (2026)
by: Wang, Xuesong, et al.
Published: (2026)
A Generalized Acquisition Function for Preference-based Reward Learning
by: Ellis, Evan, et al.
Published: (2024)
by: Ellis, Evan, et al.
Published: (2024)
Flowette: Flow Matching with Graphette Priors for Graph Generation
by: Wijesinghe, Asiri, et al.
Published: (2026)
by: Wijesinghe, Asiri, et al.
Published: (2026)
Variational Learning of Fractional Posteriors
by: Chai, Kian Ming A., et al.
Published: (2026)
by: Chai, Kian Ming A., et al.
Published: (2026)
Contextual Directed Acyclic Graphs
by: Thompson, Ryan, et al.
Published: (2023)
by: Thompson, Ryan, et al.
Published: (2023)
ProDAG: Projected Variational Inference for Directed Acyclic Graphs
by: Thompson, Ryan, et al.
Published: (2024)
by: Thompson, Ryan, et al.
Published: (2024)
Kernel-based guarantees for nonlinear parametric models in Bayesian optimization
by: Oliveira, Rafael
Published: (2026)
by: Oliveira, Rafael
Published: (2026)
Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences
by: Amin, Alan Nawzad, et al.
Published: (2024)
by: Amin, Alan Nawzad, et al.
Published: (2024)
A General Framework for User-Guided Bayesian Optimization
by: Hvarfner, Carl, et al.
Published: (2023)
by: Hvarfner, Carl, et al.
Published: (2023)
Function-on-Function Bayesian Optimization
by: Huang, Jingru, et al.
Published: (2025)
by: Huang, Jingru, et al.
Published: (2025)
Simulated Annealing-based Candidate Optimization for Batch Acquisition Functions
by: Alvi, Sk Md Ahnaf Akif, et al.
Published: (2026)
by: Alvi, Sk Md Ahnaf Akif, et al.
Published: (2026)
Generative Modeling with Bayesian Sample Inference
by: Lienen, Marten, et al.
Published: (2025)
by: Lienen, Marten, et al.
Published: (2025)
Mean-Field Bayesian Optimisation
by: Steinberg, Petar, et al.
Published: (2025)
by: Steinberg, Petar, et al.
Published: (2025)
Preconditioned One-Step Generative Modeling for Bayesian Inverse Problems in Function Spaces
by: Cheng, Zilan, et al.
Published: (2026)
by: Cheng, Zilan, et al.
Published: (2026)
Rényi Neural Processes
by: Wang, Xuesong, et al.
Published: (2024)
by: Wang, Xuesong, et al.
Published: (2024)
Similar Items
-
Amortized Active Generation of Pareto Sets
by: Steinberg, Daniel M., et al.
Published: (2025) -
Arrow: A Foundation Model for Causal Discovery
by: Thompson, Ryan, et al.
Published: (2026) -
Statistically Efficient Bayesian Sequential Experiment Design via Reinforcement Learning with Cross-Entropy Estimators
by: Blau, Tom, et al.
Published: (2023) -
Bayesian Adaptive Calibration and Optimal Design
by: Oliveira, Rafael, et al.
Published: (2024) -
Causal Preference Elicitation
by: Bonilla, Edwin V., et al.
Published: (2026)