Bidirectional Information Flow (BIF) - A Sample Efficient Hierarchical Gaussian Process for Bayesian Optimization

arXiv:2505.11294 · cs.LG · Submitted 2025-05-16 · Read on arXiv

cs.LG

Submitted: 2025-05-16

Updated: 2026-09-25

Terminology

• Bidirectional Information Flow — 16× in this paper
• Bayesian Optimization — 15× in this paper · explained in 3 episodes
• Gaussian Process — 12× in this paper
• Relative Optimum — 10× in this paper
• Sample Efficiency — 9× in this paper · explained in 4 episodes
• Modularity — 8× in this paper · explained in 9 episodes
• Robustness — 8× in this paper · explained in 5 episodes
• AUC — 7× in this paper · explained in 2 episodes
• Acquisition Function — 6× in this paper · explained in 1 episode
• Upper Confidence Bound — 5× in this paper
• Transfer Learning — 4× in this paper · explained in 10 episodes
• Bayesian Optimization (BO) — 3× in this paper · explained in 3 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Adaptability — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Decoupling — 2× in this paper · explained in 2 episodes
• alpha — 2× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Continual Learning — 1× in this paper · explained in 2 episodes
• Credit assignment — 1× in this paper · explained in 3 episodes
• GPs and Bayesian Optimization — 1× in this paper
• Gaussian Processes (GPs) — 1× in this paper · explained in 2 episodes
• Global Area Under the Curve — 1× in this paper
• Interpretability — 1× in this paper · explained in 15 episodes

Sources

• GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration
• Transfer Learning with Gaussian Processes for Bayesian Optimization

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