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Learning to target with network interference
Adaptive targeting under sparse network interference achieves near-optimal regret depending on structural knowledge, proving standard linear bandits are inefficient and offering practical algorithms.
Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026
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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 1/5