Gradient-based Sample Selection for Faster Bayesian Optimization
stat.ML, cs.LG
Submitted: 2025-04-10
Updated: 2026-08-26
Terminology
Sources
- Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds
- A Unified Particle-Optimization Framework for Scalable Bayesian Sampling
- A Tutorial on Bayesian Optimization
- Gaussian Processes for Big Data
- A Tutorial on Sparse Gaussian Processes and Variational Inference
- Towards Scalable Bayesian Optimization via Gradient-Informed Bayesian Neural Networks
- Bayesian Neural Networks
- Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design
- Dataset Pruning: Reducing Training Data by Examining Generalization Influence
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