Abstract: Toward bridging classical optimal control and online learning, regret minimization has recently been proposed as a control design criterion. This competitive paradigm penalizes the loss ...
Abstract: Selecting a portion of points that users are interested in many applications such as online search and recommendation when facing large amounts of data. The k-regret problem was recently ...
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