Finnian Lattimore

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It is usual to consider data protection and learnability as conflicting objectives. This is not always the case: we show how to jointly control causal inference — seen as the attack — and learnability by a noise-free process that mixes training examples, the Crossover Process (CP). One key point is that the CP is typically able to alter joint distributions(More)
We study the problem of using causal models to improve the rate at which good interventions can be learned online in a stochastic environment. Our formalism combines multi-arm bandits and causal inference to model a novel type of bandit feedback that is not exploited by existing approaches. We propose a new algorithm that exploits the causal feedback and(More)
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