When Does Synergy Help Active Feature Acquisition? A PID-Based Study

arXiv:2609.32301 · cs.LG · Submitted 2026-09-26 · Read on arXiv

cs.LG

Submitted: 2026-09-26

Updated: 2026-09-26

Terminology

• Accuracy — 69× in this paper · explained in 1 episode
• Benchmark — 15× in this paper · explained in 2 episodes
• Ablation — 10× in this paper · explained in 1 episode
• Aggregation — 10× in this paper · explained in 1 episode
• Redundancy — 6× in this paper · explained in 2 episodes
• Alignment — 5× in this paper · explained in 1 episode
• Feature Selection — 5× in this paper · explained in 4 episodes
• Calibration — 4× in this paper · explained in 7 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• Generalization — 3× in this paper · explained in 13 episodes
• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• Active Feature Acquisition (AFA) — 2× in this paper · explained in 1 episode
• Adaptivity — 2× in this paper · explained in 1 episode
• Deep Reinforcement Learning — 2× in this paper · explained in 2 episodes
• Partial Information Decomposition — 2× in this paper
• Robustness — 2× in this paper · explained in 5 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Amortization — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Personalization — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• A Survey on Active Feature Acquisition Strategies
• Information Templates: A New Paradigm for Intelligent Active Feature Acquisition
• EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE
• Why Pay More When You Can Pay Less: A Joint Learning Framework for Active Feature Acquisition and Classification
• Acquisition Conditioned Oracle for Nongreedy Active Feature Acquisition
• Nonnegative Decomposition of Multivariate Information

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