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cs.GT2026
On Incentivized Exploration beyond Bayesianism and Full-Information
Dimitar Chakarov, Lee Cohen, Nathan Srebro
We extend Incentive Compatible Exploration beyond the Bayesian full-information setting of Kremer et al. [2014]. We consider agents that may possess external information unknown to…
cs.LG2026
Online Set Learning from Precision and Recall Feedback
Lee Cohen, Yishay Mansour, Shay Moran +1
We consider the problem of learning an unknown subset of a domain in an online setting. In each round , the learner predicts a set of items and receive…