These selections serve as subgoals that indicate subtasks and guide policy.

Inotherfi( ) with y i > 0 at (x ,y ) contains thesolution.I+(y )torepresenty i > 0. amildassumption Assumption Forany(x ,y )satisfying(3.5), In t f forant (see thedecrease t.

Recent advances in center-based clustering continue to improve upon the drawbacksofLloyd'scelebrated k-meansalgorithmover 60yearsafteritsintroduction.

In particular, we consider sequential prediction with an adversary that injects adversarial (or out-of-distribution) examples in a stream of i.i.d.

We study the problem of learning a real-valued function that satisfies the Demographic Parity constraint. It demands the distribution of the predicted output to be independent of the sensitive attribute. We consider the case that the sensitive attribute is available for prediction.