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arXiv Machine Learning By Puspabeethi Samanta, Nikhil Karamchandani, Jayakrishnan Nair

Sequence prediction under a lying oracle

Read the original on arXiv Machine Learning →

arXiv:2608. 14102v1 Announce Type: new Abstract: We consider the problem of sequential prediction of an $m$-ary sequence, where at each epoch, (i) the environment selects an outcome from an $m$-ary alphabet, (ii) the learner selects a probability distribution over the same alphabet (unaware of the outcome generated by the environment), and finally, (iii) the learner incurs a cost that depends on the probability assigned to the outcome.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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