Recent preprints

Recent preprints found on arXiv, newest first. After peer review, please open a PR to move an entry into the matching Papers section.

• Acquisition for Spherical-Linear Bayesian Optimization on the Cube - 2026.
• Fast Bayesian Optimization Through Linear Models - 2026.
• Acquisition Function-Guided Generation for Bayesian Optimization over Discrete Spaces - 2026.
• FGSS-BO: Feedback-Guided Hypothesis Management for LLM-Based Bayesian Optimization - 2026.
• How Low Can You Go: Fine-Tuning LLMs with Bayesian Optimization (LlMBO) - 2026.
• Bayesian Optimization of CVaR with Unknown Hyperparameters - 2026.
• Generative Models as Adaptive Trust Regions for Discrete Bayesian Optimisation - 2026.
• Understanding Hidden Spatial Preferences in Bayesian Optimization - 2026.
• TagBO: LLM-Driven Task-Aware Graph Bayesian Optimization for Scientific Discovery - 2026.
• STREGO: A Scalable Implementation of a Trust-Region Framework for Noisy Bayesian Optimization - 2026.
• ISBO: Scalable Spatio-Temporal Bayesian Optimization with Log Gaussian Cox Process Models via the INLA-SPDE Approach - 2026.
• Bayesian Optimisation under State-Preservation Constraints - 2026.
• Pre-training of Bayesian Optimization Algorithm through Bayesian Optimization - 2026.
• A Unified Information-Theoretic Approach to Constrained Multi-Fidelity Multi-Objective Bayesian Optimization - 2026.
• Work While They Sleep: Exploiting Evaluation Latency for Fully Bayesian Optimization - 2026.
• Bayesian Optimization on Function Spaces via Sparse RKHS Manifolds - 2026.