Online learning and competitive analysis are two widely studied frameworks for online decision-making settings. Despite the frequent similarity of the problems they study, there are significant ...
Only recently, progress has been made in obtaining o(log (rank))-competitive algorithms for the matroid secretary problem. More precisely, Chakraborty and Lachish ...
Probabilistic programming has emerged as a powerful paradigm that integrates uncertainty directly into computational models. By embedding probabilistic constructs into conventional programming ...
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