ISBO: Scalable Spatio-Temporal Bayesian Optimization with Log Gaussian Cox Process Models via the INLA-SPDE Approach

arXiv:2610.12213 · stat.ML, cs.LG · Submitted 2026-10-08 · Read on arXiv

stat.ML, cs.LG

Submitted: 2026-10-08

Updated: 2026-10-08

Terminology

• Bayesian Optimization — 41× in this paper · explained in 3 episodes
• Regret — 30× in this paper · explained in 3 episodes
• Benchmark — 10× in this paper · explained in 2 episodes
• Gaussian Cox Process — 8× in this paper
• Ablation — 7× in this paper · explained in 1 episode
• Variational Bayes — 7× in this paper · explained in 2 episodes
• Bayesian Inference — 6× in this paper · explained in 5 episodes
• Sparsity — 6× in this paper · explained in 4 episodes
• Acquisition Function — 5× in this paper · explained in 1 episode
• Integrated Nested Laplace Approximation — 5× in this paper
• Stochastic Partial Differential Equation — 5× in this paper
• Accuracy — 4× in this paper · explained in 1 episode
• Gaussian Process — 4× in this paper
• Log-Gaussian Cox Process — 3× in this paper
• Uncertainty Quantification — 3× in this paper · explained in 8 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Adam — 2× in this paper · explained in 2 episodes
• Bayesian Optimization (BO) — 2× in this paper · explained in 3 episodes
• Core — 2× in this paper · explained in 2 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Upper Confidence Bounding — 1× in this paper

Sources

• A Study of Bayesian Neural Network Surrogates for Bayesian Optimization
• Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design
• Collaborative AI Teaming in Unknown Environments via Active Goal Deduction

Related papers

• Behavior of prediction performance metrics with rare events
• Optimal Estimation of Generic Dynamics by Path-Dependent Neural Jump ODEs
• A Posterior-Dynamics Framework for Imaging Inverse Problems with Pretrained Diffusion Priors
• One Permutation Is All You Need: Fast, Deterministic Feature Importance and Model Stress-Testing
• Online Conformal Prediction for Non-Exchangeable Panel Data
• Deep Time-Series Forecasting in 10 Years: A Survey