Giuseppe Burtini

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Web content is consumed on smart phones, tablets, and computers with a significant variation in device display resolution. Visualizing data is typically performed by extracting data from a database, packaging it as JSON or XML for transmission to the client and then visualizing with a client-side JavaScript library. A major challenge is to retrieve only the(More)
Adaptive and sequential experiment design is a well-studied area in numerous domains. We survey and synthesize the work of the online statistical learning paradigm referred to as multi-armed bandits integrating the existing research as a resource for a certain class of online experiments. We first explore the traditional stochastic model of a multi-armed(More)
Web content is consumed on devices with a significant variation in display resolution. Visualizing data is typically performed by extracting data from a database for transmission to the client and then visualizing it with a client-side Javascript library. A major challenge is to retrieve only the required data for visualization. Current approaches require(More)
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