arXiv (All)
open access
When Does Synergy Help Active Feature Acquisition? A PID-Based Study
Active feature acquisition (AFA) sequentially selects informative features under budget constraints. However, existing policies rarely distinguish whether information contributed by interacting features is redundant, unique, or synergistic. We introduce SynAFA, a state-dependent AFA policy that comb
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Coordination on a Budget: Federated Active Learning with Few Labels#984227
- A Survey on Federated Causal Discovery and Inference#303189
- Does active sampling prevent textual degradation in recursive training?#654783
- Preference Goal Tuning: Post-Training as Latent Control for Frozen Policies#189228
- Efficient difference-in-differences estimation under partial interference with incremental propensity score policies#927393
Record · ID 1116632
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive