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Bayesian optimization techniques have been successfully applied to robotics, planning, sensor placement, recommendation, advertising, intelligent user interfaces and automatic algorithm configuration.
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Bandit theory meets compressed sensing for high dimensional stochastic linear bandit
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Learning where to attend with deep architectures for image tracking
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Entropy search for information-efficient global optimization
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