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News/Minimax Optimal Regret for Causal Logistic Bandits with Counterfactual Fairness
arxiv
PublishedOctober 3, 2026 at 4:00 AM

Minimax Optimal Regret for Causal Logistic Bandits with Counterfactual Fairness

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arXiv:2610.01377v1 Announce Type: new Abstract: We study causal logistic bandits with counterfactual fairness constraints. The causal structure is given through known factual and counterfactual feature maps that share an unknown logistic reward parameter, but the learner observes only factual reward

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