For online decision-making with such hypothe- sis classes, we introduce local regret, a gener- alization of regret that aims to perform nearly as well as only�...
Jun 14, 2012 � We then present a general algorithm to minimize local regret with arbitrary locality graphs. We also show how the graph structure can be�...
Jun 26, 2012 � For online decision-making with such hypothesis classes, we introduce local regret, a generalization of regret that aims to perform nearly as�...
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For online decision-making with such hypothesis classes, we introduce local regret, a generalization of regret that aims to perform nearly as well as only�...
Jun 6, 2012 � So by minimizing local colored regret, we minimize local external regret. The natural extension of our local swap regret algorithm from the�...
Nov 13, 2018 � A typical measure to evaluate online learning algorithms is regret but such standard definition of regret is intractable for nonconvex models�...
We introduce a local regret for non-convex models in a dynamic environment. We present an update rule incurring a cost, according to our proposed local regret,�...
We introduce a local regret for non-convex models in a dynamic environment. We present an update rule incurring a cost, according to our proposed local regret,�...
Our results reveal the fallacy of myopically minimizing regret within each task: obtaining optimal regret rates in the early tasks may lead to worse rates in�...
This work introduces another definition of regret, inspired by the concept of calibration and a local gradient based regret, and discusses why this�...