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NeurIPS Paper Frames AI Experiment Design as Game, Boosting Robustness to Bad Simulators

A NeurIPS 2026 paper reformulates Bayesian experimental design as a game against adversarial nature, yielding Sibson's alpha mutual information as a robust objective with PAC-Bayes guarantees, making AI experiments 15x more robust to faulty simulators.

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  1. 2026-11-11 12:00 · AlphaSignal
    NeurIPS Maximin Framework Makes AI Experiments 15x More Robust to Bad Simulators

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